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Toikumo S, Vickers-Smith R, Jinwala Z, Xu H, Saini D, Hartwell EE, Pavicic M, Sullivan KA, Xu K, Jacobson DA, Gelernter J, Rentsch CT, Stahl E, Cheatle M, Zhou H, Waxman SG, Justice AC, Kember RL, Kranzler HR. A multi-ancestry genetic study of pain intensity in 598,339 veterans. Nat Med 2024; 30:1075-1084. [PMID: 38429522 DOI: 10.1038/s41591-024-02839-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 01/27/2024] [Indexed: 03/03/2024]
Abstract
Chronic pain is a common problem, with more than one-fifth of adult Americans reporting pain daily or on most days. It adversely affects the quality of life and imposes substantial personal and economic costs. Efforts to treat chronic pain using opioids had a central role in precipitating the opioid crisis. Despite an estimated heritability of 25-50%, the genetic architecture of chronic pain is not well-characterized, in part because studies have largely been limited to samples of European ancestry. To help address this knowledge gap, we conducted a cross-ancestry meta-analysis of pain intensity in 598,339 participants in the Million Veteran Program, which identified 126 independent genetic loci, 69 of which are new. Pain intensity was genetically correlated with other pain phenotypes, level of substance use and substance use disorders, other psychiatric traits, education level and cognitive traits. Integration of the genome-wide association studies findings with functional genomics data shows enrichment for putatively causal genes (n = 142) and proteins (n = 14) expressed in brain tissues, specifically in GABAergic neurons. Drug repurposing analysis identified anticonvulsants, β-blockers and calcium-channel blockers, among other drug groups, as having potential analgesic effects. Our results provide insights into key molecular contributors to the experience of pain and highlight attractive drug targets.
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Affiliation(s)
- Sylvanus Toikumo
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rachel Vickers-Smith
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington, KY, USA
| | - Zeal Jinwala
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Divya Saini
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Emily E Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mirko Pavicic
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Kyle A Sullivan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Ke Xu
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Daniel A Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Joel Gelernter
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Christopher T Rentsch
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
- London School of Hygiene & Tropical Medicine, London, UK
| | - Eli Stahl
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - Martin Cheatle
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Hang Zhou
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
| | - Stephen G Waxman
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Amy C Justice
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
- Yale University School of Public Health, New Haven, CT, USA
| | - Rachel L Kember
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA.
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Kranzler HR, Davis CN, Feinn R, Jinwala Z, Khan Y, Oikonomou A, Silva-Lopez D, Burton I, Dixon M, Milone J, Ramirez S, Shifman N, Levey D, Gelernter J, Hartwell EE, Kember RL. Adverse Childhood Events, Mood and Anxiety Disorders, and Substance Dependence: Gene X Environment Effects and Moderated Mediation. medRxiv 2023:2023.10.24.23297419. [PMID: 37961309 PMCID: PMC10635185 DOI: 10.1101/2023.10.24.23297419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Adverse childhood events (ACEs) contribute to the development of mood and anxiety disorders and substance dependence. However, the extent to which these effects are direct or indirect and whether genetic risk moderates them is unclear. Methods We examined associations among ACEs, mood/anxiety disorders, and substance dependence in 12,668 individuals (44.9% female, 42.5% African American/Black, 42.1% European American/White). We generated latent variables for each phenotype and modeled direct and indirect effects of ACEs on substance dependence, mediated by mood/anxiety disorders (forward or "self-medication" model) and of ACEs on mood/anxiety disorders, mediated by substance dependence (reverse or "substance-induced" model). In a sub-sample, we also generated polygenic scores for substance dependence and mood/anxiety disorder factors, which we tested as moderators in the mediation models. Results Although there were significant indirect effects in both directions, mediation by mood/anxiety disorders (forward model) was greater than by substance dependence (reverse model). Greater genetic risk for substance dependence was associated with a weaker direct effect of ACEs on substance dependence in both the African- and European-ancestry groups (i.e., gene-environment interaction) and a weaker indirect effect in European-ancestry individuals (i.e., moderated mediation). Conclusion We found greater evidence that substance dependence results from self-medication of mood/anxiety disorders than that mood/anxiety disorders are substance induced. Among individuals at higher genetic risk for substance dependence who are more likely to develop a dependence diagnosis, ACEs exert less of an effect in promoting that outcome. Following exposure to ACEs, multiple pathways lead to mood/anxiety disorders and substance dependence. Specification of these pathways could inform individually targeted prevention and treatment approaches.
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Affiliation(s)
- Henry R. Kranzler
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Christal N. Davis
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT 06473
| | - Zeal Jinwala
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Yousef Khan
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Ariadni Oikonomou
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Damaris Silva-Lopez
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Isabel Burton
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Morgan Dixon
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Jackson Milone
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Sarah Ramirez
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Naomi Shifman
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Daniel Levey
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT and VA CT Healthcare Center, 950 Campbell Avenue, West Haven, CT 06516, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT and VA CT Healthcare Center, 950 Campbell Avenue, West Haven, CT 06516, USA
- Departments of Genetics and Neurobiology, Yale University School of Medicine, New Haven, CT and VA CT Healthcare Center, 950 Campbell Avenue, West Haven, CT 06516, USA
| | - Emily E. Hartwell
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Rachel L. Kember
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
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Kranzler HR, Feinn R, Xu H, Ho BL, Saini D, Nicastro OR, Jacoby A, Toikumo S, Gelernter J, Hartwell EE, Kember RL. Does polygenic risk for substance-related traits predict ages of onset and progression of symptoms? Addiction 2023; 118:1675-1686. [PMID: 37069489 PMCID: PMC10525011 DOI: 10.1111/add.16210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 03/25/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND AND AIMS Genetic risk can influence disease progression. We measured the impact of genetic risk for substance use disorders (SUDs) on substance use onset and progression of symptoms. DESIGN, SETTING, PARTICIPANTS Using findings from genome-wide association studies (GWASs) of alcohol use disorder (AUD), opioid use disorder (OUD) and smoking trajectory (SMK) as discovery samples, we calculated polygenic risk scores (PRSs) in a deeply phenotyped independent target sample. Participants in the target sample were recruited from 2000 to 2020 from US inpatient or outpatient settings or through advertisements and comprised 5692 European-ancestry individuals (EUR) (56.2% male) and 4918 African-ancestry individuals (AFR) (54.9% male). MEASUREMENTS This study measured age of first substance use, regular use, reported problems and dependence diagnosis and progression from regular use to onset of problems and dependence for alcohol, opioids and smoking. We examined the contribution of PRS to each milestone and progression measure. FINDINGS EUR and males reported an earlier onset and shorter progression times than AFR and females, respectively. Among EUR, higher AUD PRS predicted earlier onset and more rapid progression to alcohol-related milestones (P < 0.001). Although the AUD PRS was a stronger moderator of problem onset among females (P = 0.017), it was more predictive of the progression to problems among males (P = 0.005). OUD and SMK PRS in EUR also predicted earlier onset of the respective milestones (P < 0.001). Among AFR, where power is lower due to the smaller discovery sample, AUD PRS predicted age of regular alcohol use (P = 0.039) and dependence (P = 0.001) and progression from regular use to diagnosis (P = 0.045), while SMK PRS predicted earlier age of initiation (P = 0.036). CONCLUSIONS Genetic risk for SUDs appears to predict substance use milestones and symptom progression among European-ancestry individuals and, to a lesser extent, African-ancestry individuals.
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Affiliation(s)
- Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT 06473
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Brendan L. Ho
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Divya Saini
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Olivia R. Nicastro
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Anya Jacoby
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Sylvanus Toikumo
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511 and VA Connecticut Healthcare System, West Haven, CT 06516
| | - Emily E. Hartwell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT 06473
| | - Rachel L. Kember
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
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Kranzler HR, Hartwell EE. Medications for treating alcohol use disorder: A narrative review. Alcohol Clin Exp Res 2023; 47:1224-1237. [PMID: 37526592 DOI: 10.1111/acer.15118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/01/2023] [Accepted: 05/12/2023] [Indexed: 08/02/2023]
Abstract
Chronic heavy alcohol use impacts all major neurotransmitter systems and is associated with multiple medical, psychiatric, and social problems. Available evidence-based medications to treat alcohol use disorder (AUD) are underutilized in clinical practice. These medications promote abstinence or reduce alcohol consumption, though there are questions regarding their optimal dosage, length of treatment, and utility in combination with one another. Pharmacogenetic approaches, which use a patient's genetic make-up to inform medication selection, have garnered great interest but have yet to yield results robust enough to incorporate them in routine clinical care. This narrative review summarizes the evidence both for medications approved by the Food and Drug Administration (disulfiram, oral naltrexone, acamprosate, and extended-release naltrexone) and those commonly used off-label (e.g., gabapentin, baclofen, and topiramate) for AUD treatment. We discuss these drugs' mechanisms of action, clinical use, pharmacogenetic findings, and treatment recommendations. We conclude that the most consistent evidence supporting the pharmacotherapy of AUD is for the opioid antagonists, naltrexone and nalmefene (which is not approved in the United States), and topiramate. These medications demonstrate consistent small or moderate effects in reducing the frequency of drinking and/or heavy drinking. Lastly, we make suggestions for research needed to refine and expand the current literature on effective pharmacotherapy for AUD.
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Affiliation(s)
- Henry R Kranzler
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Veterans Integrated Service Network 4, Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, Pennsylvania, USA
| | - Emily E Hartwell
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Veterans Integrated Service Network 4, Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, Pennsylvania, USA
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5
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Vickers-Smith R, Justice AC, Becker WC, Rentsch CT, Curtis B, Fernander A, Hartwell EE, Ighodaro ET, Kember RL, Tate J, Kranzler HR. Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans. Am J Psychiatry 2023; 180:426-436. [PMID: 37132202 PMCID: PMC10238581 DOI: 10.1176/appi.ajp.21111097] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
OBJECTIVE Studies show that racially and ethnically minoritized veterans have a higher prevalence of alcohol use disorder (AUD) than White veterans. The investigators examined whether the relationship between self-reported race and ethnicity and AUD diagnosis remains after adjusting for alcohol consumption, and if so, whether it varies by self-reported alcohol consumption. METHODS The sample included 700,012 Black, White, and Hispanic veterans enrolled in the Million Veteran Program. Alcohol consumption was defined as an individual's maximum score on the consumption subscale of the Alcohol Use Disorders Identification Test (AUDIT-C), a screen for unhealthy alcohol use. A diagnosis of AUD, the primary outcome, was defined by the presence of relevant ICD-9 or ICD-10 codes in electronic health records. Logistic regression with interactions was used to assess the association between race and ethnicity and AUD as a function of maximum AUDIT-C score. RESULTS Black and Hispanic veterans were more likely than White veterans to have an AUD diagnosis despite similar levels of alcohol consumption. The difference was greatest between Black and White men; at all but the lowest and highest levels of alcohol consumption, Black men had 23%-109% greater odds of an AUD diagnosis. The findings were unchanged after adjustment for alcohol consumption, alcohol-related disorders, and other potential confounders. CONCLUSIONS The large discrepancy in the prevalence of AUD across groups despite a similar distribution of alcohol consumption levels suggests that there is racial and ethnic bias, with Black and Hispanic veterans more likely than White veterans to receive an AUD diagnosis. Efforts are needed to reduce bias in the diagnostic process to address racialized differences in AUD diagnosis.
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Affiliation(s)
- Rachel Vickers-Smith
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Amy C Justice
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - William C Becker
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Christopher T Rentsch
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Brenda Curtis
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Anita Fernander
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Emily E Hartwell
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Eseosa T Ighodaro
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Rachel L Kember
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Janet Tate
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
| | - Henry R Kranzler
- Mental Illness Research, Education, and Clinical Center, Veterans Integrated Service Network 4, Philadelphia (Vickers-Smith, Hartwell, Kember, Kranzler); Department of Epidemiology and Environmental Health, University of Kentucky College of Public Health, Lexington (Vickers-Smith); Department of Internal Medicine, Yale School of Medicine, New Haven (Justice, Becker, Tate); Department of Health Policy and Management, Yale School of Public Health, New Haven (Justice); Veterans Affairs Connecticut Healthcare System, West Haven (Justice, Becker, Rentsch, Tate); Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London (Rentsch); National Institute on Drug Abuse Intramural Research Program, Baltimore (Curtis); Department of Integrated Medical Science, Florida Atlantic University, Boca Raton (Fernander); Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia (Hartwell, Kember, Kranzler); Department of Neurology, Mayo Clinic, Rochester, Minn. (Ighodaro)
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Kember RL, Hartwell EE, Xu H, Rotenberg J, Almasy L, Zhou H, Gelernter J, Kranzler HR. Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample. Biol Psychiatry 2023; 93:536-545. [PMID: 36273948 PMCID: PMC9931661 DOI: 10.1016/j.biopsych.2022.08.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/17/2022] [Accepted: 08/05/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND Substance use disorders (SUDs) are associated with a variety of co-occurring psychiatric disorders and other SUDs, which partly reflects genetic pleiotropy. Polygenic risk scores (PRSs) and phenome-wide association studies are useful in evaluating pleiotropic effects. However, the comparatively low prevalence of SUDs in population samples and the lack of detailed information available in electronic health records limit these data sets' informativeness for such analyses. METHODS We used the deeply phenotyped Yale-Penn sample (n = 10,610 with genetic data; 46.3% African ancestry, 53.7% European ancestry) to examine pleiotropy for 4 major substance-related traits: alcohol use disorder, opioid use disorder, smoking initiation, and lifetime cannabis use. The sample includes both affected and control subjects interviewed using the Semi-Structured Assessment for Drug Dependence and Alcoholism, a comprehensive psychiatric interview. RESULTS In African ancestry individuals, PRS for alcohol use disorder, and in European individuals, PRS for alcohol use disorder, opioid use disorder, and smoking initiation were associated with their respective primary DSM diagnoses. These PRSs were also associated with additional phenotypes involving the same substance. Phenome-wide association study analyses of PRS in European individuals identified associations across multiple phenotypic domains, including phenotypes not commonly assessed in phenome-wide association study analyses, such as family environment and early childhood experiences. CONCLUSIONS Smaller, deeply phenotyped samples can complement large biobank genetic studies with limited phenotyping by providing greater phenotypic granularity. These efforts allow associations to be identified between specific features of disorders and genetic liability for SUDs, which help to inform our understanding of the pleiotropic pathways underlying them.
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Affiliation(s)
- Rachel L Kember
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
| | - Emily E Hartwell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - James Rotenberg
- Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hang Zhou
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut; Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, Connecticut
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania; Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
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7
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Naps MS, Leong SH, Hartwell EE, Rentsch CT, Kranzler HR. Effects of topiramate therapy on serum bicarbonate concentration in a sample of 10,279 veterans. Alcohol Clin Exp Res 2023; 47:438-447. [PMID: 36810985 DOI: 10.1111/acer.15011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/20/2022] [Accepted: 01/03/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Topiramate, which is increasingly being used to treat alcohol use disorder (AUD), is commonly associated with reduced serum bicarbonate concentrations. However, estimates of the prevalence and magnitude of this effect are from small samples and do not address whether topiramate's effects on acid-base balance differ in the presence of an AUD or by topiramate dosage. METHODS Veterans Health Administration electronic health record (EHR) data were used to identify patients with a minimum of 180 days of topiramate prescription for any indication and a propensity score-matched control group. We differentiated patients into two subgroups based on the presence of a diagnosis of AUD in the EHR. Baseline alcohol consumption was determined using Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) scores in the EHR. Analysis also included a three-level measure representing mean daily dosage. The topiramate-associated changes in serum bicarbonate concentration were estimated in difference-in-differences linear regression models. A serum bicarbonate concentration <17 mEq/L was considered to represent possible clinically significant metabolic acidosis. RESULTS The cohort comprised 4287 topiramate-treated patients and 5992 propensity score-matched controls with a mean follow-up period of 417 days. The mean topiramate-associated reductions in serum bicarbonate concentration were <2 mEq/L in the low (≤88.75), medium (>88.75 and ≤141.70), and high (>141.70) mg/day dosage tertiles, irrespective of AUD history. Concentrations <17 mEq/L occurred in 1.1% of topiramate-treated patients and 0.3% of controls and were not associated with alcohol consumption or an AUD diagnosis. CONCLUSIONS The excess prevalence of metabolic acidosis associated with topiramate treatment does not differ with dosage, alcohol consumption, or the presence of an AUD. Baseline and periodic serum bicarbonate concentration measurements are recommended during topiramate therapy. Patients prescribed topiramate should be educated about the symptoms of metabolic acidosis and urged to report their occurrence promptly to a healthcare provider.
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Affiliation(s)
- Michelle S Naps
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.,School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Shirley H Leong
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Emily E Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Christopher T Rentsch
- VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, Connecticut, USA.,Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.,Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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8
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Kranzler HR, Leong SH, Naps M, Hartwell EE, Fiellin DA, Rentsch CT. Association of topiramate prescribed for any indication with reduced alcohol consumption in electronic health record data. Addiction 2022; 117:2826-2836. [PMID: 35768956 PMCID: PMC10317468 DOI: 10.1111/add.15980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 06/02/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Topiramate is a medication that is widely prescribed to treat a variety of conditions, including alcohol use disorder (AUD). We used electronic health record (EHR) data to measure topiramate's effects on drinking in individuals differentiated by a history of AUD. DESIGN Parallel-groups comparison of patients prescribed topiramate and a propensity score-matched comparison group. SETTING A large US integrated health-care system. PARTICIPANTS Patients with Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) scores prior to and after a minimum of 180 days of topiramate prescription for any indication and a propensity score-matched group. The sample included 5918 patients with an electronic health record diagnosis of alcohol use disorder at any time (AUD-hx-pos) (1738 topiramate-exposed and 4180 controls) and 23 614 patients with no EHR diagnosis of AUD (AUD-hx-neg) (6324 topiramate-exposed and 17 290 controls). MEASUREMENTS Regression analyses compared difference-in-difference (DiD) estimates, separately by AUD history. DiD estimates represent exposure-group (i.e. topiramate versus control) differences on the pre-post difference in AUDIT-C score. Effects of baseline AUDIT-C score and daily topiramate dosage were also tested. FINDINGS AUD-hx-neg patients who received topiramate had a greater reduction in AUDIT-C score (-0.11) than matched controls (-0.04). This yielded a DiD score of -0.07 [95% confidence interval (CI) = -0.11,-0.03; P = 0.002], with the greatest effect among AUD-hx-neg patients with a baseline AUDIT-C score of 4+ (DiD = -0.35, 95% CI = -0.49, -0.21; P < 0.0001) and those prescribed > 150 mg/day of the medication (DiD = -0.15, 95%CI = -0.23, -0.07; P < 0.001). DISCUSSION Among individuals with no history of alcohol use disorder, topiramate appears to be associated with reduced drinking. This small effect is most evident among patients with higher baseline drinking levels and at a higher average daily topiramate dosage.
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Affiliation(s)
- Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Shirley H. Leong
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
| | - Michelle Naps
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
| | - Emily E. Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - David A. Fiellin
- Department of Medicine, Yale School of Medicine, New Haven, CT 06510
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT 06510
| | - Christopher T. Rentsch
- Department of Medicine, Yale School of Medicine, New Haven, CT 06510
- CT VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT 06516
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
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Abstract
This Viewpoint discusses the use of hallucinogens to treat alcohol use disorder.
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Affiliation(s)
- Henry R Kranzler
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Veterans Integrated Service Network 4 Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Emily E Hartwell
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Veterans Integrated Service Network 4 Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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10
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Kember RL, Vickers-Smith R, Xu H, Toikumo S, Niarchou M, Zhou H, Hartwell EE, Crist RC, Rentsch CT, Davis LK, Justice AC, Sanchez-Roige S, Kampman KM, Gelernter J, Kranzler HR. Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addiction. Nat Neurosci 2022; 25:1279-1287. [PMID: 36171425 PMCID: PMC9682545 DOI: 10.1038/s41593-022-01160-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 08/11/2022] [Indexed: 11/09/2022]
Abstract
Despite an estimated heritability of ~50%, genome-wide association studies of opioid use disorder (OUD) have revealed few genome-wide significant loci. We conducted a cross-ancestry meta-analysis of OUD in the Million Veteran Program (N = 425,944). In addition to known exonic variants in OPRM1 and FURIN, we identified intronic variants in RABEPK, FBXW4, NCAM1 and KCNN1. A meta-analysis including other datasets identified a locus in TSNARE1. In total, we identified 14 loci for OUD, 12 of which are novel. Significant genetic correlations were identified for 127 traits, including psychiatric disorders and other substance use-related traits. The only significantly enriched cell-type group was CNS, with gene expression enrichment in brain regions previously associated with substance use disorders. These findings increase our understanding of the biological basis of OUD and provide further evidence that it is a brain disease, which may help to reduce stigma and inform efforts to address the opioid epidemic.
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Affiliation(s)
- Rachel L Kember
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rachel Vickers-Smith
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA
- Center on Drug and Alcohol Research, Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sylvanus Toikumo
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Maria Niarchou
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hang Zhou
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Emily E Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Richard C Crist
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Christopher T Rentsch
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Lea K Davis
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy C Justice
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - Sandra Sanchez-Roige
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Kyle M Kampman
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Joel Gelernter
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Henry R Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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11
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Livne O, Feinn R, Knox J, Hartwell EE, Gelernter J, Hasin DS, Kranzler HR. Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey. Alcohol Clin Exp Res 2022; 46:422-433. [PMID: 35275407 PMCID: PMC8928097 DOI: 10.1111/acer.14781] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/19/2021] [Accepted: 01/22/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite its potential to produce serious adverse outcomes, DSM-5 alcohol withdrawal syndrome (AWS) has not been widely studied in the general population. METHODS We used cross-sectional data from 36,309 U.S. adults from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III to examine the past-year prevalence of AWS and its correlates. We focused on an important clinical population-past-year drinkers with unhealthy alcohol use-i.e., those with a positive score on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire. We also examined the association of AWS with sociodemographic measures, psychiatric disorders, alcohol-related measures, and healthcare utilization. RESULTS Approximately one-third (n = 12,634) of respondents reported unhealthy alcohol use (AUDIT-C+). Of these, 14.3% met criteria for a DSM-5 AWS diagnosis. The mean (SE) number of withdrawal symptoms among individuals with AWS was 2.83 (1.88), with the most common being nausea/vomiting and insomnia (19.8% and 11.6%, respectively). Among AUDIT-C+ respondents, the odds of AWS were significantly higher among males (adjusted odds ratio [aOR] = 1.17 [95% CI, 1.02-1.33]), unmarried participants (aOR = 1.55 [95% CI, 1.25-1.92]), and those at the lowest (vs. highest) income levels (aOR = 1.62 [95% CI, 1.37-1.92]). Among AUDIT-C+ respondents, AWS was also associated with psychiatric disorders (with aORs that ranged from 2.08 [95% CI, 1.79-2.41]) for major depressive disorder to 3.14 (95% CI, 1.79-2.41) for borderline personality disorder. AUDIT-C+ respondents with AWS also had higher odds of past-year alcohol use disorder (aOR = 11.2 [95% CI, 9.66-13.07]), other alcohol-related features (e.g., binge drinking), and healthcare utilization. CONCLUSIONS Among individuals with unhealthy alcohol use, AWS is prevalent, highly comorbid, and disabling. Given the risk of AWS among unhealthy drinkers, a comparatively large segment of the general population, clinicians should seek to identify individuals with AWS and intervene with them to prevent serious adverse outcomes.
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Affiliation(s)
- Ofir Livne
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT
| | - Justin Knox
- Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY,New York State Psychiatric Institute, HIV Center for Clinical and Behavioral Studies, New York, NY
| | - Emily E. Hartwell
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Veterans Integrated Service Network 4 Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, CT
| | - Deborah S. Hasin
- Department of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY
| | - Henry R. Kranzler
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Veterans Integrated Service Network 4 Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA
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12
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Hartwell EE, Merikangas AK, Verma SS, Ritchie MD, Kranzler HR, Kember RL. Genetic liability for substance use associated with medical comorbidities in electronic health records of African- and European-ancestry individuals. Addict Biol 2022; 27:e13099. [PMID: 34611967 PMCID: PMC9254745 DOI: 10.1111/adb.13099] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 07/17/2021] [Accepted: 09/01/2021] [Indexed: 01/03/2023]
Abstract
Polygenic risk scores (PRS) represent an individual's summed genetic risk for a trait and can serve as biomarkers for disease. Less is known about the utility of PRS as a means to quantify genetic risk for substance use disorders (SUDs) than for many other traits. Nonetheless, the growth of large, electronic health record-based biobanks makes it possible to evaluate the association of SUD PRS with other traits. We calculated PRS for smoking initiation, alcohol use disorder (AUD), and opioid use disorder (OUD) using summary statistics from the Million Veteran Program sample. We then tested the association of each PRS with its primary phenotype in the Penn Medicine BioBank (PMBB) using all available genotyped participants of African or European ancestry (AFR and EUR, respectively) (N = 18,612). Finally, we conducted phenome-wide association analyses (PheWAS) separately by ancestry and sex to test for associations across disease categories. Tobacco use disorder was the most common SUD in the PMBB, followed by AUD and OUD, consistent with the population prevalence of these disorders. All PRS were associated with their primary phenotype in both ancestry groups. PheWAS results yielded cross-trait associations across multiple domains, including psychiatric disorders and medical conditions. SUD PRS were associated with their primary phenotypes; however, they are not yet predictive enough to be useful diagnostically. The cross-trait associations of the SUD PRS are indicative of a broader genetic liability. Future work should extend findings to additional population groups and for other substances of abuse.
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Affiliation(s)
- Emily E. Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Alison K. Merikangas
- Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Shefali S. Verma
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Marylyn D. Ritchie
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA
| | | | - Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Rachel L. Kember
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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13
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Crist RC, Vickers-Smith R, Kember RL, Rentsch CT, Xu H, Edelman EJ, Hartwell EE, Kampman KM, Kranzler HR. Analysis of genetic and clinical factors associated with buprenorphine response. Drug Alcohol Depend 2021; 227:109013. [PMID: 34488071 PMCID: PMC9328121 DOI: 10.1016/j.drugalcdep.2021.109013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 08/12/2021] [Accepted: 08/15/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Buprenorphine, approved for treating opioid use disorder (OUD), is not equally efficacious for all patients. Candidate gene studies have shown limited success in identifying genetic moderators of buprenorphine treatment response. METHODS We studied 1616 European-ancestry individuals enrolled in the Million Veteran Program, of whom 1609 had an ICD-9/10 code consistent with OUD, a 180-day buprenorphine treatment exposure, and genome-wide genotype data. We conducted a genome-wide association study (GWAS) of buprenorphine treatment response [defined as having no opioid-positive urine drug screens (UDS) following the first prescription]. We also examined correlates of buprenorphine treatment response in multivariable analyses. RESULTS Although no variants reached genome-wide significance, 6 loci were nominally significant (p < 1 × 10-5), four of which were located near previously characterized genes: rs756770 (ADAMTSL2), rs11782370 (SLC25A37), rs7205113 (CRISPLD2), and rs13169373 (LINC01947). A higher maximum daily buprenorphine dosage (aOR = 0.98; 95 %CI: 0.97, 0.995), greater number of UDS (aOR = 0.97; 95 %CI: 0.96, 0.99), and history of hepatitis C (HCV) infection (aOR = 0.71; 95 %CI: 0.57, 0.88) were associated with a reduced odds of buprenorphine response. Older age (aOR: 1.01; 95 %CI: 1.000, 1.02) was associated with increased odds of buprenorphine response. CONCLUSIONS This study had limited statistical power to detect genetic variants associated with a complex human phenotype like buprenorphine treatment response. Meta-analysis of multiple data sets is needed to ensure adequate statistical power for a GWAS of buprenorphine treatment response. The most robust phenotypic predictor of buprenorphine treatment response was intravenous drug use, a proxy for which was HCV infection.
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Affiliation(s)
- Richard C. Crist
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Rachel Vickers-Smith
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104,Department of Epidemiology, University of Kentucky College of Public Health, Lexington, KY 40536,Center on Drug and Alcohol Research, Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY 40536
| | - Rachel L. Kember
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Christopher T. Rentsch
- VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, 06516,Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | | | - Emily E. Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Kyle M. Kampman
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104,Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104,Corresponding Author: Henry R. Kranzler, M.D., Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, 3535 Market St., Suite 500, Philadelphia, PA 19104, Phone: 215-746-1943,
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14
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Hartwell EE, Feinn R, Witkiewitz K, Pond T, Kranzler HR. World Health Organization risk drinking levels as a treatment outcome measure in topiramate trials. Alcohol Clin Exp Res 2021; 45:1664-1671. [PMID: 34120366 PMCID: PMC9439581 DOI: 10.1111/acer.14652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/07/2021] [Accepted: 05/29/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Although abstinence has traditionally been considered the only suitable outcome for alcohol treatment, reduced drinking is also associated with improved functioning and medical and psychiatric outcomes. The World Health Organization (WHO) risk drinking levels (RDLs) have been shown to be valid outcome measures in treatment trials for alcohol use disorder (AUD). METHODS We conducted a secondary analysis of two 12-week, randomized controlled trials (RCTs), in which a total of 308 individuals with problematic alcohol use received topiramate or placebo treatment. We compared the utility of the WHO RDLs with other treatment outcomes, including self-reported measures of alcohol consumption, alcohol-related problems, and quality of life, and the biomarker gamma-glutamyltransferase. RESULTS Topiramate treatment was associated with small effect sizes for both a 1-level (d = 0.26) and a 2-level (d = 0.19) reduction in WHO RDL, effects that were not significant after correction for multiple comparisons. No heavy drinking days, one of the outcome measures recommended by the US Food and Drug Administration for alcohol medication registration trials, also exhibited a small effect (0.21), while an effect size for abstinence could not be calculated. There were medium effects of topiramate on continuous measures of percent heavy drinking days (d = 0.49) and alcohol-related problems (d = 0.41). CONCLUSIONS Topiramate is an efficacious pharmacotherapy for AUD. Although continuous measures of drinking and alcohol-related problems yielded larger effect sizes than the WHO RDLs, the latter nonetheless provide a categorical alternative for use in both clinical care and pharmacotherapy trials.
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Affiliation(s)
- Emily E. Hartwell
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT 06473
| | - Katie Witkiewitz
- Department of Psychology (KW), Center on Alcohol, Substance use, and Addictions, University of New Mexico, Albuquerque, New Mexico 87131
| | - Timothy Pond
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
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Kranzler HR, Hartwell EE, Feinn R, Pond T, Witkiewitz K, Gelernter J, Crist RC. Combined analysis of the moderating effect of a GRIK1 polymorphism on the effects of topiramate for treating alcohol use disorder. Drug Alcohol Depend 2021; 225:108762. [PMID: 34049101 PMCID: PMC8282735 DOI: 10.1016/j.drugalcdep.2021.108762] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/26/2021] [Accepted: 03/28/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND In an initial study, we reported that topiramate reduced heavy drinking among individuals who sought to reduce their drinking and that the effect was moderated by a single nucleotide polymorphism (SNP; rs2832407) in GRIK1, which encodes the kainate GluK1 receptor subunit (Kranzler et al., 2014). In a subsequent study that prospectively randomized patients to medication group based on their rs2832407 genotype, we replicated the main effect of topiramate but not the moderating effect of the SNP (Kranzler et al., 2021). Given the similar design of the two studies, here we combined the findings to provide greater statistical power to test the pharmacogenetic effect. MATERIAL AND METHODS This secondary analysis of two 12-week, randomized controlled trials of topiramate included a total of 292 European-ancestry individuals (67.1 % male; topiramate: 48.3 %, placebo: 51.7 %) with problematic alcohol use. Using MANOVA, we examined changes in self-reported alcohol consumption, problems resulting from alcohol use, and quality of life, and the biomarker γ-glutamyltransferase. To test the pharmacogenetic hypothesis, all patients were genotyped for rs2832407. RESULTS There was a significant overall effect of topiramate on the alcohol-related outcomes (partial η2 = 0.134, p < 0.001), with follow-up analyses showing significant reductions in percent heavy drinking days (Cohen's d = 0.49), percent days abstinent (d = 0.23), drinks/day (d = 0.29) and alcohol-related problems (d = 0.45). Overall, the moderating effect of the SNP was non-significant (partial η² = 0.026, p = 0.37). CONCLUSIONS Although topiramate is an efficacious medication for reducing drinking and alcohol-related problems among patients with problematic alcohol use, rs2832407 does not appear to moderate its therapeutic effects. www.clinicaltrials.gov registrations: NCT00626925 and NCT02371889.
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Affiliation(s)
- Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, United States; Mental Illness Research, Education and Clinical Center, Crescenz VAMC, United States.
| | - Emily E Hartwell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, United States; Mental Illness Research, Education and Clinical Center, Crescenz VAMC, United States
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT, 06473, United States
| | - Timothy Pond
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, United States; Mental Illness Research, Education and Clinical Center, Crescenz VAMC, United States
| | - Katie Witkiewitz
- Department of Psychology, Center on Alcoholism, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, NM, 87131, United States
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, CT, 06516, United States
| | - Richard C Crist
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, United States
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Green R, MacKillop J, Hartwell EE, Lim AC, Baskerville WA, Karno M, Ray LA. Behavioral Economic Demand for Alcohol and Cigarettes in Heavy Drinking Smokers: Evidence of Asymmetric Cross-commodity Reinforcing Value. Nicotine Tob Res 2021; 23:748-755. [PMID: 33247757 DOI: 10.1093/ntr/ntaa049] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 11/24/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Previous studies have highlighted a strong bidirectional relationship between cigarette and alcohol consumption. To advance our understanding of this relationship the present study uses a behavioral economic approach in a community sample (N = 383) of nontreatment seeking heavy drinking smokers. AIMS AND METHODS The aims were to examine same-substance and cross-substance relationships between alcohol and cigarette use, and latent factors of demand. A community sample of nontreatment seeking heavy drinking smokers completed an in-person assessment battery including measures of alcohol and tobacco use as well as the Cigarette Purchase Task and the Alcohol Purchase Task. Latent factors of demand were derived from these hypothetical purchase tasks. RESULTS Results revealed a positive correlation between paired alcohol and cigarette demand indices (eg, correlation between alcohol intensity and cigarette intensity) (rs = 0.18-0.46, p ≤ .003). Over and above alcohol factors, cigarette use variables (eg, Fagerström Test for Nicotine Dependence and cigarettes per smoking day) significantly predicted an additional 4.5% (p < .01) of the variance in Persistence values but not Amplitude values for alcohol. Over and above cigarette factors, alcohol use variables predicted cigarette Persistence values (ΔR2 = .013, p = .05), however, did not predict Amplitude values. CONCLUSIONS These results advance our understanding of the overlap between cigarette and alcohol by demonstrating that involvement with one substance was associated with demand for the other substance. This asymmetric profile-from smoking to alcohol demand, but not vice versa-suggests that it is not simply tapping into a generally higher reward sensitivity and warrants further investigation. IMPLICATIONS To our knowledge, no study to date has examined alcohol and cigarette demand, via hypothetical purchase tasks, in a clinical sample of heavy drinking smokers. This study demonstrates that behavioral economic indices may be sensitive to cross-substance relationships and specifically that such relationships are asymmetrically stronger for smoking variables affecting alcohol demand, not the other way around.
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Affiliation(s)
- ReJoyce Green
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | - James MacKillop
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Emily E Hartwell
- Mental Illness Research, Education and Clinical Center, Corporal Michael J Crescenz VA Medical Center, Philadelphia, PA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Aaron C Lim
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA
| | | | - Mitchell Karno
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
| | - Lara A Ray
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA
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17
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Hartwell EE, Feinn R, Morris PE, Gelernter J, Krystal J, Arias AJ, Hoffman M, Petrakis I, Gueorguieva R, Schacht JP, Oslin D, Anton RF, Kranzler HR. Systematic review and meta-analysis of the moderating effect of rs1799971 in OPRM1, the mu-opioid receptor gene, on response to naltrexone treatment of alcohol use disorder. Addiction 2020; 115:1426-1437. [PMID: 31961981 PMCID: PMC7340566 DOI: 10.1111/add.14975] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 11/07/2019] [Accepted: 01/10/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS There is wide inter-individual variability in response to the treatment of alcohol use disorder (AUD) with the opioid receptor antagonist naltrexone. To identify patients who may be most responsive to naltrexone treatment, studies have examined the moderating effect of rs1799971, a single nucleotide polymorphism (SNP) that encodes a non-synonymous substitution (Asn40Asp) in the mu-opioid receptor gene, OPRM1. The aims of this study were to: (1) conduct a systematic review of randomized clinical trials (RCTs); (2) assess the bias of the available studies and gauge publication bias; and (3) meta-analyze the interaction effect of the Asn40Asp SNP on the response to naltrexone treatment. METHODS We searched for placebo-controlled RCTs that examined the effect of Asn40Asp on the response to naltrexone treatment of heavy drinking or AUD. We tested the hypothesis that the minor (Asp40) allele was associated with a greater reduction in five alcohol consumption measures (relapse to heavy drinking, abstinence, percentage of heavy drinking days, percentage of days abstinent and drinks per day) in naltrexone-treated participants by meta-analyzing the interaction effects using a random effects model. RESULTS Seven RCTs met the study criteria. Overall, risk of bias was low and we observed no evidence of publication bias. Of the five alcohol consumption outcomes considered, there was a nominally significant moderating effect of the Asn40Asp SNP only on drinks per day (d = -0.18, P = 0.02). However, the effect was not significant when multiple comparisons were taken into account. CONCLUSIONS From the evidence to date, it remains unclear whether rs1799971, the OPRM1 Asn40Asp single nucleotide polymorphism, predicts naltrexone treatment response in individuals with alcohol use disorder or heavy drinking.
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Affiliation(s)
- Emily E. Hartwell
- Mental Illness Research, Education and Clinical Center, Cpl. Michael J. Crescenz VAMC, Philadelphia, PA 19104,Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of Medicine at Quinnipiac University, North Haven, CT 06473
| | - Paige E. Morris
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Joel Gelernter
- Departments of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, and VA Connecticut Healthcare, West Haven, CT 06516
| | - John Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510
| | - Albert J. Arias
- Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA 23298
| | - Michaela Hoffman
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425
| | - Ismene Petrakis
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510
| | - Ralitza Gueorguieva
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06510
| | - Joseph P. Schacht
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425
| | - David Oslin
- Mental Illness Research, Education and Clinical Center, Cpl. Michael J. Crescenz VAMC, Philadelphia, PA 19104,Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104
| | - Raymond F. Anton
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425
| | - Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Cpl. Michael J. Crescenz VAMC, Philadelphia, PA 19104,Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104,To whom correspondence should be addressed at: Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Suite 500, Philadelphia, PA 19104; Telephone: 215-746-1943;
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18
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Ehrie J, Hartwell EE, Morris PE, Mark TL, Kranzler HR. Survey of Addiction Specialists' Use of Medications to Treat Alcohol Use Disorder. Front Psychiatry 2020; 11:47. [PMID: 32116860 PMCID: PMC7034336 DOI: 10.3389/fpsyt.2020.00047] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 01/20/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Several medications have been shown to be safe and effective for treating alcohol use disorder (AUD); however, these medications are prescribed infrequently. We conducted a survey of the demographics, practice characteristics, and self-perceived knowledge, experience, and opinions of addiction specialists on the use of AUD medications and how to increase their use. METHODS We sent a 19-question survey to members of the American Society of Addiction Medicine (ASAM) and the American Academy of Addiction Psychiatry (AAAP). RESULTS We received a total of 395 responses from ASAM members and 194 responses from AAAP members. One hundred of the respondents were members of both organizations. The large majority of respondents (92.6%) were prescribers, and 81.6% were non-trainee physicians. The two most frequently used medications for treating AUD were oral naltrexone (27%) and long-acting naltrexone (18%). Respondents were significantly more confident in the strength of the research findings and evidence for the efficacy and safety of naltrexone than other AUD medications (p < 0.001 ). Respondents identified additional education to current providers about existing medications as the most important potential intervention to increase the use of AUD medications. CONCLUSIONS Compared with a survey published in 2001, in 2018 the proportion of respondents who reported using naltrexone more than doubled and addiction specialists were more confident in their use of AUD medications, rating their efficacy and safety more highly. Consistent with findings from other recent studies, providing more education to practitioners about existing AUD medications may be the most effective way to increase their use.
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Affiliation(s)
- Jarrod Ehrie
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Emily E Hartwell
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.,Mental Illness Research, Education, and Clinical Center of the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States
| | - Paige E Morris
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Tami L Mark
- Division of Behavioral Health and Criminal Justice Research, RTI International, Rockville, MD, United States
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.,Mental Illness Research, Education, and Clinical Center of the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States
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19
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Kranzler HR, Feinn R, Morris P, Hartwell EE. A meta-analysis of the efficacy of gabapentin for treating alcohol use disorder. Addiction 2019; 114:1547-1555. [PMID: 31077485 PMCID: PMC6682454 DOI: 10.1111/add.14655] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 03/04/2019] [Accepted: 05/03/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND AIMS Studies of the efficacy of gabapentin for treating alcohol use disorder (AUD) have yielded mixed findings. The aims of our study were to estimate gabapentin's effects on six alcohol-related outcomes, test potential moderators, examine publication bias and evaluate the quality of the studies. METHODS Meta-analysis of placebo-controlled randomized controlled trials (RCTs). Using PubMed and ClinicalTrials.gov, we selected RCTs of gabapentin's effects on alcohol consumption or a biochemical correlate of it, excluding studies limited to other primary outcomes or that combined gabapentin with other medications. We assessed study quality and used a random-effects model to analyze each outcome measure and the Egger regression test and funnel plots to assess publication bias. RESULTS We identified seven RCTs of gabapentin that met study criteria. The quality of the studies overall was good, and there was no evidence of publication bias. Four to seven studies contributed to the analysis of the six outcome measures. For all outcome measures the effect estimates were in a direction that favored gabapentin over placebo. However, only for percentage of heavy drinking days was there good evidence of a benefit (g = -0.64, 95% confidence interval = -1.22 to -0.06). CONCLUSIONS Although gabapentin appears to be more efficacious than placebo in treating AUD, the only measure on which the analysis clearly favors the active medication is percentage of heavy drinking days. Additional studies are needed to define more clearly the role of gabapentin in AUD treatment.
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Affiliation(s)
- Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA 19104, USA,Mental Illness Research, Education and Clinical Center of
the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center,
Philadelphia, PA 19104, USA
| | - Richard Feinn
- Department of Medical Sciences, Frank H. Netter School of
Medicine at Quinnipiac University, North Haven, CT 06473
| | - Paige Morris
- Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Emily E. Hartwell
- Department of Psychiatry, University of Pennsylvania
Perelman School of Medicine, Philadelphia, PA 19104, USA,Mental Illness Research, Education and Clinical Center of
the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center,
Philadelphia, PA 19104, USA
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20
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Roche DJO, Bujarski S, Green R, Hartwell EE, Leventhal AM, Ray LA. Alcohol, tobacco, and marijuana consumption is associated with increased odds of same-day substance co- and tri-use. Drug Alcohol Depend 2019; 200:40-49. [PMID: 31085377 PMCID: PMC6675401 DOI: 10.1016/j.drugalcdep.2019.02.035] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 02/07/2019] [Accepted: 02/09/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Little is known about event-level patterns of marijuana co- or tri-use with alcohol and tobacco. Thus, the study goal was to examine patterns of same-day alcohol, cigarette, and marijuana co- and tri-use at the individual level in non-treatment-seeking alcohol users. METHODS Participants (N = 551) completed an in-person interview for alcohol, cigarette, and marijuana use over the previous 30 days, and the event-level substance use patterns of n = 179 participants who reported using each of these substances at least once per month were analyzed. RESULTS The use of alcohol, marijuana, or cigarettes independently increased the probability of subsequent, simultaneous co-use of one of the two remaining substances. The co-use of alcohol with cigarettes and marijuana with cigarettes produced generally additive effects on the odds of same day tri-use of marijuana and alcohol, respectively. Conversely, the co-use of alcohol and marijuana produced sub-additive effects on likelihood of cigarette use. Sex moderated several of the observed patterns of co- and tri-use: the relationship between alcohol or cigarette use predicting marijuana co-use was stronger in men, whereas the observed additive relationships between drug co-use leading to tri-use was stronger in women. CONCLUSIONS The presented results may aid in the understanding of how simultaneous co-use of marijuana with alcohol and/or tobacco relates to the etiology, maintenance, and treatment of comorbid and trimorbid substance use disorder. Replication and extension of the results in treatment seeking populations using more fine-grained analysis approaches, e.g. ecological momentary assessment, is needed.
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Affiliation(s)
- D J O Roche
- Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - S Bujarski
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - R Green
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - E E Hartwell
- Mental Illness Research, Education and Clinical Center, Corporal Michael J Crescenz VA Medical Center, Philadelphia, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - A M Leventhal
- Departments of Preventive Medicine and Psychpology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | - L A Ray
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
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21
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Lim AC, Ghahremani DG, Grodin EN, Green R, Bujarski S, Hartwell EE, Courtney KE, Hutchison K, Miotto K, Ray LA. Neuroimaging findings from an experimental pharmacology trial of naltrexone in heavy drinkers of East Asian descent. Drug Alcohol Depend 2019; 200:181-190. [PMID: 31160146 PMCID: PMC6760244 DOI: 10.1016/j.drugalcdep.2019.02.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 02/01/2019] [Accepted: 02/22/2019] [Indexed: 01/01/2023]
Abstract
BACKGROUND Despite known genetic variation across races, studies examining pharmacogenetics of a single nucleotide polymorphism (SNP) of the mu-opioid receptor gene (OPRM1) on clinical response to naltrexone have been conducted in predominantly Caucasian samples. Evidence is mixed for pharmacogenetic OPRM1 and naltrexone effects on neural responses to alcohol cues. The current study tests the pharmacogenetic effects of naltrexone and OPRM1 on neural responses to alcohol taste cues in heavy drinkers of East Asian descent. METHODS Participants (N = 41) completed two double-blinded and counterbalanced functional magnetic resonance imaging (fMRI) sessions: one after taking naltrexone (50 mg/day) for four days and one after taking placebo for four days. Following titration, participants completed an fMRI alcohol taste-cues task. Analyses tested effects of naltrexone, OPRM1, and their interaction in whole-brain and region of interest (ROI) analyses of functional activation and functional connectivity in response to alcohol versus water taste cues. RESULTS We found no effects of naltrexone orOPRM1 on neural activation in whole-brain and ROI analyses, which included left and right ventral striatum (VS), anterior cingulate cortex (ACC), and orbitofrontal cortex (OFC). Naltrexone increased functional connectivity between left VS and clusters in medial prefrontal cortex, posterior cingulate gyrus, as well as right VS and occipital cortex, compared to placebo. CONCLUSIONS Naltrexone treatment enhanced functional connectivity in a key reinforcement-related pathway during alcohol versus water taste cues, corroborating neuroimaging work with other substances. Null medication and pharmacogenetics effects on functional activation add to a mixed naltrexone literature and may underscore the modest size of these effects in East Asians.
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Affiliation(s)
- Aaron C. Lim
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Dara G. Ghahremani
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Erica N. Grodin
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - ReJoyce Green
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Spencer Bujarski
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Emily E. Hartwell
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kelly E. Courtney
- Department of Psychology, University of California, San Diego, San Diego, CA, USA
| | - Kent Hutchison
- Department of Psychology, University of Colorado, Boulder, CO, USA
| | - Karen Miotto
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lara A. Ray
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
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Abstract
Introduction: Alcohol use disorder (AUD) is highly prevalent; costly economically, socially, and interpersonally; and grossly undertreated. The low rate of utilization of medications with demonstrated (albeit modest) efficacy is particularly noteworthy. One approach to increasing the utility and safety of available medications is to use a precision medicine approach, which seeks to identify patients for whom specific medications are likely to be most efficacious and have the fewest adverse effects. Areas Covered: We review the literature on the pharmacogenetics of AUD treatment using both approved and off-label medications. We cover both laboratory studies and clinical trials, highlighting valuable mechanistic insights and underscoring the potential value of precision-based care for AUD. Expert Opinion: Pharmacotherapy can be a useful component of AUD treatment. Currently, the evidence regarding genetic predictors of medication efficacy is very limited. Thus, a precision medicine approach is not yet ready for widespread clinical implementation. Further research is needed to identify candidate genetic variants that moderate the response to both established and novel medications. The growing availability of large-scale, longitudinal datasets that enable the synthesis of genetic and electronic health record data provides important opportunities to develop this area of research.
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Affiliation(s)
- Emily E Hartwell
- a Mental Illness Research, Education and Clinical Center , Crescenz VAMC , Philadelphia , PA , USA.,b Center for Studies of Addiction, Department of Psychiatry , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Henry R Kranzler
- a Mental Illness Research, Education and Clinical Center , Crescenz VAMC , Philadelphia , PA , USA.,b Center for Studies of Addiction, Department of Psychiatry , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
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23
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Hartwell EE, Ray LA. Craving as a DSM-5 Symptom of Alcohol Use Disorder in Non-Treatment Seekers. Alcohol Alcohol 2018; 53:235-240. [PMID: 29145640 DOI: 10.1093/alcalc/agx088] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 10/25/2017] [Indexed: 12/13/2022] Open
Abstract
Aims DSM-5 has added craving as a new criterion and changed the diagnostic structure of alcohol use disorder (AUD). Though craving has long been a target of intervention, less is known about the impact this addition will have on prevalence and factor structure of AUD, particularly in non-treatment seeker with alcohol problems. Methods Non-treatment seeking individuals reporting alcohol-related problems (N = 296) completed a structured clinical interview and the Penn Alcohol Craving Scale (PACS). PACS scores greater than 20 were considered to meet diagnostic criteria for the alcohol craving symptom. This study examined DSM-IV to DSM-5 diagnostic conversion and conducted an exploratory factor analysis to test the factor structure of the DSM-5 symptoms, including craving. Results The mean PACS score was 13.1 and alcohol craving was strongly correlated with other measures of alcohol use. Using the proposed cut-off score of PACS > 20, 46 participants (16.2%) met criteria for alcohol craving. Craving loaded moderately (0.47) onto the retained DSM symptoms and produced a unidimensional factor structure. The majority of participants who met for a DSM-IV AUD also met for a DSM-5 AUD (98.8%). Conclusions Craving prevalence using the PACS was relatively low compared to the remaining 10 DSM-5 symptoms, possibly due to the non-treatment seeking nature of the sample. Conversion of DSM-IV to DSM-5 in this sample led to a small increase in overall AUD prevalence. Craving loaded well onto a single factor structure for AUD.
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Affiliation(s)
- Emily E Hartwell
- Department of Psychology, University of California, Los Angeles, 1285 Franz Hall, Box 951563, CA 900951563, USA
| | - Lara A Ray
- Department of Psychology, University of California, Los Angeles, 1285 Franz Hall, Box 951563, CA 900951563, USA.,Department of Psychiatry and Biobehavioral Sciences, University of California, 760 Westwood Plaza, Los Angeles, CA 90095, USA.,Brain Research Institute, University of California, 695 Charles Young Drive South, Los Angeles, CA 90095, USA
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24
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Abstract
BACKGROUND Multiple measures are utilized to assess alcohol craving, often interchangeably. Little is known about the relationship between tonic and phasic craving. This study fills this gap in the literature by examining the association between tonic levels of alcohol craving and phasic craving for alcohol that is provoked by alcohol administration. METHODS Forty-three non-treatment seeking problem drinkers underwent an initial interview and two laboratory testing sessions, where either alcohol or a saline placebo was administered intravenously. Tonic craving was assessed via the Penn Alcohol Craving Scale (PACS) and Obsessive Compulsive Drinking Scale (OCDS) at the initial interview. Phasic craving was assessed during the laboratory sessions (i.e., alcohol and saline administrations, single blinded) at baseline and at 3 subsequent breath alcohol concentrations (0.02, 0.04, and 0.06 g/dl). RESULTS There was a main effect of PACS in predicting phasic craving across both saline and alcohol administration conditions (p < 0.05). The OCDS was predictive of phasic craving when alcohol, but not saline, was administered (p = 0.058); the obsessive subscale (p = 0.01), but not the compulsive subscale (p > 0.10), predicted phasic craving during alcohol, as compared to saline administration. CONCLUSION In sum, tonic craving captured by the OCDS was predictive of phasic craving during alcohol administration whereas the PACS more generally captured the increase in phasic craving. Therefore, these measures of tonic craving may function differently in capturing the experience of phasic craving. Implications for the utilization of the PACS and OCDS as well as assessments of craving in alcoholism research are discussed.
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Affiliation(s)
- Emily E. Hartwell
- Department of Psychology, University of California, Los Angeles, USA
| | - Lara A. Ray
- Department of Psychology, University of California, Los Angeles, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA
- Brain Research Institute, University of California, Los Angeles, USA
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Ray LA, Green R, Roche DJ, Bujarski S, Hartwell EE, Lim AC, Rohrbaugh T, Ghahremani D, Hutchison K, Miotto K. Pharmacogenetic Effects of Naltrexone in Individuals of East Asian Descent: Human Laboratory Findings from a Randomized Trial. Alcohol Clin Exp Res 2018; 42:613-623. [PMID: 29265379 PMCID: PMC6086578 DOI: 10.1111/acer.13586] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 12/12/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Genetic variation in the endogenous opioid system has been identified as 1 potential source of individual variability in naltrexone treatment outcomes. The majority of naltrexone pharmacogenetic studies have focused on a particular single nucleotide polymorphism (SNP) of the mu-opioid receptor gene (OPRM1; rs1799971; commonly known as the Asn40Asp SNP) in Caucasian samples with decidedly mixed results. The goal of this study was to test the pharmacogenetic effects of naltrexone on subjective response to alcohol and self-administration of alcohol in individuals of East Asian descent. We hypothesized that naltrexone, compared with placebo, would potentiate the aversive and sedative effects of alcohol and reduce alcohol self-administration to a greater extent in Asp40 carriers. METHODS Participants (N = 77; Asn40Asn, n = 29; Asn40Asp, n = 34, and Asp40Asp, n = 14) completed 2 double-blinded and counterbalanced experimental sessions: one after taking naltrexone (50 mg/d) for 5 days and one after taking matched placebo for 5 days. In each experimental session, participants received a priming dose of intravenous alcohol up to the breath alcohol concentration target of 0.06 g/dl which was immediately followed by an alcohol self-administration period (1 hour). RESULTS There were no pharmacogenetic effects observed for alcohol-induced stimulation, sedation, craving for alcohol, or alcohol self-administration in the laboratory. During the self-administration period, Asp40 carriers consumed fewer drinks and had a longer latency to first drink as compared to Asn40 homozygotes. CONCLUSIONS These findings in East Asians add to the mixed literature on naltrexone pharmacogenetics from predominantly Caucasian samples and highlight the complexity of these effects and their overall limited replicability. It is plausible that a consistent pharmacogenetic effect in tightly controlled preclinical and experimental medicine models "fades" in more complex and heterogeneous settings and samples.
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Affiliation(s)
- Lara A. Ray
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - ReJoyce Green
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Daniel J.O. Roche
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Spencer Bujarski
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Emily E. Hartwell
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Aaron C. Lim
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Taylor Rohrbaugh
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Dara Ghahremani
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kent Hutchison
- Department of Psychology, University of Colorado, Boulder, CO, USA
| | - Karen Miotto
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
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Hartwell EE, Moallem NR, Courtney KE, Glasner-Edwards S, Ray LA. Sex Differences in the Association Between Internalizing Symptoms and Craving in Methamphetamine Users. J Addict Med 2017; 10:395-401. [PMID: 27504928 PMCID: PMC5083163 DOI: 10.1097/adm.0000000000000250] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Methamphetamine (MA) users often have substantial psychiatric comorbidities, with nearly a third reporting lifetime mood disorders and over a quarter reporting lifetime anxiety disorders. Female MA users are more likely to endorse depression and anxiety symptoms compared with men. Craving has been related to mood/anxiety symptoms in MA users. To extend the literature on sex differences in MA use disorder, the present study examines the role of sex as a moderator of the relationship between mood/anxiety symptoms and MA craving. METHODS Participants (N = 203) were nontreatment-seeking, current MA users, recruited from the Los Angeles community for enrollment in a larger pharmacotherapy trial. At the assessment visit, participants completed multiple measures including the Methamphetamine Urge Questionnaire, the Beck Depression Inventory, and the Beck Anxiety Inventory. RESULTS The relationship between depression symptomatology and MA craving was moderated by sex (F = 6.18, P = 0.01), such that the relationship was positive and significant for men (P < 0.001), but was not significant for women. Similarly, sex significantly moderated the relationship between anxiety and MA craving (F = 5.99, P = 0.02), such that the relationship was also positive and significant in men, but not in women (P < 0.001). CONCLUSIONS These results suggest that men may be more sensitive to the effects of internalizing symptoms on MA craving than women. Given craving's propensity to predict relapse, these initial findings indicate the necessity of treating comorbid psychiatric problems in male MA users, which may in turn assist in the attenuation of craving.
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Affiliation(s)
- Emily E. Hartwell
- Department of Psychology, University of California, Los Angeles
- Integrated Substance Abuse Programs, University of California, Los Angeles
| | | | | | | | - Lara A. Ray
- Department of Psychology, University of California, Los Angeles
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
- Brain Research Institute, University of California, Los Angeles
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Ray LA, Bujarski S, Yardley MM, Roche DJO, Hartwell EE. Differences between treatment-seeking and non-treatment-seeking participants in medication studies for alcoholism: do they matter? Am J Drug Alcohol Abuse 2017; 43:703-710. [PMID: 28426264 DOI: 10.1080/00952990.2017.1312423] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Medication development for alcoholism typically includes experimental pharmacology studies with non-treatment-seeking individuals with alcohol use disorder (AUD) paving the way for randomized controlled trials in treatment-seekers with AUD. OBJECTIVES The goal of this study is to provide a direct comparison between AUD treatment-seeking research participants and non-treatment-seeking participants on demographic and clinical variables and to test whether variables that differentiate the two groups are associated with clinical outcomes. METHOD Non-treatment-seeking AUD participants (n = 213; 76.3% male) who completed behavioral pharmacology studies were compared to treatment-seekers who completed the COMBINE Study (n = 1383; 69.1% male) on demographic and clinical variables. Analyses examined whether the variables that differentiated the two groups predicted treatment outcomes in the COMBINE Study. RESULTS Analyses revealed that treatment-seeking participants were older, had more years of education, higher Alcohol Dependence Scale scores, higher Drinker Inventory of Consequences scores, higher Obsessive Compulsive Drinking Scale scores, a greater number of DSM-IV symptoms of AUD, longer duration of AUD, and consumed more standard drinks and more drinks per drinking day (i.e., in the past 30 days) compared to non-treatment-seeking participants. Nearly all characteristics that differed between the groups predicted at least one of the primary clinical outcomes of the COMBINE Study. CONCLUSIONS This study highlights a host of clinical and demographic factors that differ between non-treatment-seeking and treatment-seeking research participants and the clinical significance of these variables. Differences between samples should be considered and addressed in order to promote greater consilience across stages of medication development.
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Affiliation(s)
- Lara A Ray
- a Department of Psychology , University of California , Los Angeles , CA , USA.,b Department of Psychiatry and Biobehavioral Sciences , University of California , Los Angeles , CA , USA
| | - Spencer Bujarski
- a Department of Psychology , University of California , Los Angeles , CA , USA
| | - Megan M Yardley
- a Department of Psychology , University of California , Los Angeles , CA , USA
| | - Daniel J O Roche
- a Department of Psychology , University of California , Los Angeles , CA , USA
| | - Emily E Hartwell
- a Department of Psychology , University of California , Los Angeles , CA , USA
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Hartwell EE, Bujarski S, Glasner-Edwards S, Ray LA. The Association of Alcohol Severity and Sleep Quality in Problem Drinkers. Alcohol Alcohol 2015; 50:536-41. [PMID: 26018218 DOI: 10.1093/alcalc/agv046] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2015] [Accepted: 04/23/2015] [Indexed: 11/14/2022] Open
Abstract
AIMS The association between alcohol use and sleep problems is well established and clinically meaningful, particularly as predictors of relapse. This study aims to elucidate the relationship between sleep disturbances and alcohol problems in a non-treatment-seeking community sample using an alcoholism problem severity factor. METHODS Participants were problem drinkers (N = 295) from the Los Angeles community who had a breath alcohol content (BrAC) of 0.00 g/dl when they completed an in-person assessment battery comprised of measures of sleep quality, anxiety and depression, cigarette smoking, as well as multiple assessments of alcohol use and alcohol use problems. RESULTS A series of hierarchical regressions showed that alcohol problem severity explained a significant amount of variance in sleep disturbance beyond demographic, mood and smoking variables. Alcohol problem severity was predictive of the PSQI global score (B = 1.11, P < 0.001), perceived sleep quality factor (B = 0.18, P < 0.001) and daily disturbance factor (B = 0.28, P < 0.001). However, contrary to study hypothesis, alcohol problem severity was predictive of improved sleep efficiency (B = -0.14, P < 0.05). CONCLUSIONS In sum, alcohol problem severity may be predictive of sleep disturbances. Given the complex nature of these relationships, further work is needed to develop adequate treatment for sleep disturbance during alcohol recovery. Nonetheless, this study suggests that as alcohol problem severity increases so do sleep problems. Thus, attending to sleep problems at early stages of alcohol problems may be warranted.
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Affiliation(s)
- Emily E Hartwell
- Department of Psychology, University of California, Los Angeles, CA, USA Integrated Substance Abuse Program, University of California, Los Angeles, CA, USA
| | - Spencer Bujarski
- Department of Psychology, University of California, Los Angeles, CA, USA
| | | | - Lara A Ray
- Department of Psychology, University of California, Los Angeles, CA, USA Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA Brain Research Institute, University of California, Los Angeles, CA, USA
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Hartwell EE, Pfeifer JG, McCauley JL, Moran-Santa Maria M, Back SE. Sleep disturbances and pain among individuals with prescription opioid dependence. Addict Behav 2014; 39:1537-42. [PMID: 24999989 DOI: 10.1016/j.addbeh.2014.05.025] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Revised: 05/01/2014] [Accepted: 05/28/2014] [Indexed: 12/21/2022]
Abstract
BACKGROUND Poor sleep quality has been observed in individuals with substance use disorders and is often a trigger for relapse. To date, little research has investigated sleep quality among individuals with prescription opioid (PO) dependence. The present study aimed to address this gap in the literature by examining subjective and objective sleep disturbances among PO dependent individuals. METHODS Subjects were 68 non-treatment seeking individuals (33 PO dependent, 35 healthy controls). Subjective sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Subjects were admitted for an overnight inpatient hospital stay during which objective sleep data was collected using an actigraphy device. Self-report pain was measured with the Brief Pain Inventory. RESULTS Significant group differences in subjective sleep quality were revealed in the PSQI (p<0.01) and ISI (p<0.01). Poor sleep quality (i.e., PSQI total score>5) was identified in 80.6% of the PO group, as compared to 8.8% of the control group (p<.001). Significant group differences in sleep quality were identified in five of six actigraphy variables: total time asleep, sleep efficiency, latency of onset of sleep, total time awake and time mobile. Furthermore, significant associations between pain severity and sleep quality were observed. CONCLUSIONS Results indicate high rates of sleep impairment and poor sleep quality among PO dependent individuals. Pain severity was significantly correlated with sleep quality. Although preliminary, the findings highlight the importance of assessing and treating sleep disturbances, as well as pain, among patients with PO dependence.
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Back SE, Killeen TK, Teer AP, Hartwell EE, Federline A, Beylotte F, Cox E. Substance use disorders and PTSD: an exploratory study of treatment preferences among military veterans. Addict Behav 2014; 39:369-73. [PMID: 24199930 DOI: 10.1016/j.addbeh.2013.09.017] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2012] [Revised: 09/15/2013] [Accepted: 09/19/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND Substance use disorders (SUDs) and Post Traumatic Stress Disorder (PTSD) frequently co-occur among Veterans and are associated with poor treatment outcomes. Historically, treatments for SUDs and PTSD have been delivered sequentially and independently. More recently, however, integrated treatments have shown promise. This study investigated Veterans' perceptions of the interrelationship between SUDs and PTSD, as well as treatment preferences. METHODS Participants were 35 Veterans of recent military conflicts in Iraq and Afghanistan, and prior operations, who completed the Treatment Preferences Questionnaire as well as an in-depth interview. RESULTS The majority (94.3%) perceived a relationship between their SUD and PTSD symptoms. Veterans reported that PTSD symptom exacerbation was typically (85.3%) associated with an increase in substance use, and PTSD symptom improvement was typically (61.8%) followed by a decrease in substance use (p<.01). Approximately 66% preferred an integrated treatment approach. CONCLUSIONS Although preliminary, the findings provide clinically-relevant information that can be used to enhance the development and provision of care for Veterans with SUDs and PTSD.
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Affiliation(s)
- Sudie E Back
- Medical University of South Carolina, 171 Ashley Avenue, Charleston, SC, United States; Ralph H. Johnson Veterans Affairs Medical Center, 109 Bee Street, Charleston, SC, United States.
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