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Gallefoss LJ, Gabrielsen KB, Haugland SH, Clausen T, Vederhus JK. Effects of a brief pre-admission telephone reminder on no-show and dropout rates in substance use disorder treatment: a quasi-experimental study. Subst Abuse Treat Prev Policy 2022; 17:61. [PMID: 35999633 PMCID: PMC9400280 DOI: 10.1186/s13011-022-00489-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Appointment no-show and early dropout from treatment represent major challenges in outpatient substance use disorder treatment, adversely affecting clinical outcomes and health care productivity. In this quasi-experimental study, we examined how a brief reminder intervention for new patients before their first appointment affected treatment participation and retention. No-shows (not attending any sessions) and dropouts (discontinuation of initiated treatment because of three consecutively missed appointments) were compared between a period with pre-admission telephone calls (intervention) and a period without such reminders (non-intervention).
Methods
Participants were all eligible patients (N = 262) admitted to a Norwegian specialist clinic for substance use disorder treatment. We used the Chi-square test for the no-show analysis. Of the eligible patients, 147 were included in a subsequent dropout analysis. We used the number of visits up to 10 appointments as a measure for time to event. Group differences were analyzed using a Kaplan–Meier plot and the log-rank test. To control for relevant sociodemographic variables, as well as substance use and mental distress severity, we used Cox regression.
Results
No-show rates did not differ between the two periods (12% for non-intervention vs. 14% for intervention; χ2 = 0.20, p = 0.653). Of those consenting to participate in the dropout analysis (n = 147), 28 (19%) discontinued treatment within the time frame of 10 appointments, with no differences between the two periods (log-rank test = 0.328, p = 0.567). Controlling for baseline characteristics did not alter this finding. In fact, of the registered covariates at baseline, only higher education level was associated with attrition, linked to a reduced risk for dropout (hazard ratio = 0.85, 95% CI = 0.74–0.98, p = 0.025).
Conclusion
These findings do not provide support for the systematic use of a brief pre-admission telephone reminder in the current treatment setting.
Trial registration
The study was retrospectively registered 13 Jan 2021 at ClinicalTrials.gov, NCT04707599.
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Katner SN, Sentir AM, Steagall KB, Ding ZM, Wetherill L, Hopf FW, Engleman EA. Modeling Aversion Resistant Alcohol Intake in Indiana Alcohol-Preferring (P) Rats. Brain Sci 2022; 12:brainsci12081042. [PMID: 36009105 PMCID: PMC9406111 DOI: 10.3390/brainsci12081042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 07/26/2022] [Accepted: 08/02/2022] [Indexed: 12/26/2022] Open
Abstract
With the substantial social and medical burden of addiction, there is considerable interest in understanding risk factors that increase the development of addiction. A key feature of alcohol use disorder (AUD) is compulsive alcohol (EtOH) drinking, where EtOH drinking becomes “inflexible” after chronic intake, and animals, such as humans with AUD, continue drinking despite aversive consequences. Further, since there is a heritable component to AUD risk, some work has focused on genetically-selected, EtOH-preferring rodents, which could help uncover critical mechanisms driving pathological intake. In this regard, aversion-resistant drinking (ARD) takes >1 month to develop in outbred Wistar rats (and perhaps Sardinian-P EtOH-preferring rats). However, ARD has received limited study in Indiana P-rats, which were selected for high EtOH preference and exhibit factors that could parallel human AUD (including front-loading and impulsivity). Here, we show that P-rats rapidly developed compulsion-like responses for EtOH; 0.4 g/L quinine in EtOH significantly reduced female and male intake on the first day of exposure but had no effect after one week of EtOH drinking (15% EtOH, 24 h free-choice paradigm). Further, after 4−5 weeks of EtOH drinking, males but not females showed resistance to even higher quinine (0.5 g/L). Thus, P-rats rapidly developed ARD for EtOH, but only males developed even stronger ARD with further intake. Finally, rats strongly reduced intake of quinine-adulterated water after 1 or 5 weeks of EtOH drinking, suggesting no changes in basic quinine sensitivity. Thus, modeling ARD in P-rats may provide insight into mechanisms underlying genetic predispositions for compulsive drinking and lead to new treatments for AUDs.
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Affiliation(s)
- Simon N. Katner
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Alena M. Sentir
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Kevin B. Steagall
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Zheng-Ming Ding
- Departments of Anesthesiology and Perioperative Medicine and Pharmacology, Pennsylvania State University College of Medicine, 700 HMC Crescent Road, Hershey, PA 17033, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Frederic W. Hopf
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Eric A. Engleman
- Department of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Correspondence:
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Nazari S, Pourmand SM, Makki SM, Brand S, Vousooghi N. Potential biomarkers of addiction identified by real-time PCR in human peripheral blood lymphocytes: a narrative review. Biomark Med 2022; 16:739-758. [PMID: 35658670 DOI: 10.2217/bmm-2021-0291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Addiction-related neurobiological factors could be considered as potential biomarkers. The concentration of peripheral biomarkers in tissues like blood lymphocytes may mirror their brain levels. This review is focused on the mRNA expression of potential addiction biomarkers in human peripheral blood lymphocytes (PBLs). PubMed, EMBASE, Web of Science, Scopus and Google Scholar were searched using the keywords 'addiction', 'biomarker', 'peripheral blood lymphocyte', 'gene expression' and 'real-time PCR'. The results showed the alterations in the regulation of genes such as dopamine receptors, opioid receptors, NMDA receptors, cannabinoid receptors, α-synuclein, DYN, MAO-A, FosB and orexin-A as PBLs biomarkers in addiction stages. Such variations could also be found during abstinence and relapse. PBLs biomarkers may help in drug development and have clinical implications.
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Affiliation(s)
- Shahrzad Nazari
- Department of Neuroscience & Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, 1417755469, Iran
| | - Seyed Mahmoud Pourmand
- Addiction Department, School of Behavioral Sciences & Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, 1445613111, Iran
| | - Seyed Mohammad Makki
- Department of Psychiatry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, 1985717443, Iran
| | - Serge Brand
- Center for Affective-, Stress- and Sleep Disorders (ZASS), Psychiatric Clinics (UPK), University of Basel, Basel, 4002, Switzerland.,Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6714869914, Iran.,Substance Abuse Prevention Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6714869914, Iran.,Department of Sport, Exercise, and Health, Division of Sport Science and Psychosocial Health, University of Basel, Basel, 4052, Switzerland.,Department of Psychiatry, School of Medicine, Tehran University of Medical Sciences, Tehran, 1417466191, Iran
| | - Nasim Vousooghi
- Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, 1417755469, Iran.,Research Center for Cognitive & Behavioral Sciences, Tehran University of Medical Sciences, Tehran, 13337159140, Iran.,Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, 1336616357, Iran
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Blum K, Steinberg B, Gondre-Lewis MC, Baron D, Modestino EJ, Badgaiyan RD, Downs BW, Bagchi D, Brewer R, McLaughlin T, Bowirrat A, Gold M. A Review of DNA Risk Alleles to Determine Epigenetic Repair of mRNA Expression to Prove Therapeutic Effectiveness in Reward Deficiency Syndrome (RDS): Embracing "Precision Behavioral Management". Psychol Res Behav Manag 2021; 14:2115-2134. [PMID: 34949945 PMCID: PMC8691196 DOI: 10.2147/prbm.s292958] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/22/2021] [Indexed: 11/23/2022] Open
Abstract
This is a review of research on "Precision Behavioral Management" of substance use disorder (SUD). America is experiencing a high prevalence of substance use disorder, primarily involving legal and illegal opioid use. A 3000% increase in treatment for substance abuse has occurred between 2000 and 2016. Unfortunately, present day treatment of opioid abuse involves providing replacement therapy with powerful opioids to, at best, induce harm reduction, not prophylaxis. These interventions do not enhance gene expression and restore the balance of the brain reward system's neurotransmitters. We are proposing a generalized approach called "Precision Behavioral Management". This approach includes 1) using the Genetic Addiction Risk Severity (GARS, a 10 candidate polymorphic gene panel shown to predict ASI-alcohol and drug severity) to assess early pre-disposition to substance use disorder; 2) using a validated reward deficiency syndrome (RDS) questionnaire; 3) utilization of the Comprehensive Analysis of Reported Drugs (CARD™) to assess treatment compliance and abstinence from illicit drugs during treatment, and, importantly; 4) utilization of a "Pro-dopamine regulator (KB220)" (via IV or oral [KB220Z] delivery systems) to optimize gene expression, restore the balance of the Brain Reward Cascade's neurotransmitter systems and prevent relapse by induction of dopamine homeostasis, and; 5) utilization of targeted DNA polymorphic reward genes to direct mRNA genetic expression profiling during the treatment process. Incorporation of these events can be applied to not only the under-considered African-American RDS community, but all victims of RDS, as a demonstration of a paradigm shift that uniquely provides a novel putative "standard of care" based on DNA guided precision nutrition therapy to induce "dopamine homeostasis" and rebalance neurotransmitters in the Brain Reward Cascade. We are also developing a Reward Deficiency Syndrome Diagnostic Criteria (RDSDC) to assist in potential tertiary treatment.
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Affiliation(s)
- Kenneth Blum
- Center for Psychiatry, Medicine & Primary Care, Division of Addiction Research & Education, Graduate College, Western University Health Sciences, Pomona, CA, USA
- Eötvös Loránd University, Institute of Psychology, Budapest, Hungary
- Department of Psychiatry, Wright State University Boonshoft School of Medicine and Dayton VA Medical Center, Dayton, OH (IE), USA
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
- Division of Nutrigenomics, The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX, USA
| | | | - Marjorie C Gondre-Lewis
- Developmental Neuropsychopharmacology Laboratory, Department of Anatomy, Howard University College of Medicine, Washington, DC, USA
| | - David Baron
- Center for Psychiatry, Medicine & Primary Care, Division of Addiction Research & Education, Graduate College, Western University Health Sciences, Pomona, CA, USA
| | | | - Rajendra D Badgaiyan
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, South Texas Veteran Health Care System, Audie L. Murphy Memorial VA Hospital, San Antonio, TX, USA
- Long School of Medicine, University of Texas Medical Center, San Antonio, TX, USA
| | - B William Downs
- Division of Nutrigenomics, Victory Nutrition International, Inc., Harleysville, PA, USA
| | - Debasis Bagchi
- Division of Nutrigenomics, Victory Nutrition International, Inc., Harleysville, PA, USA
| | - Raymond Brewer
- Division of Nutrigenomics, The Kenneth Blum Behavioral & Neurogenetic Institute, Austin, TX, USA
| | - Thomas McLaughlin
- Department of Psychopharmacology, Center for Psychiatric Medicine, Lawrence, MA, USA
| | - Abdalla Bowirrat
- Adelson School of Medicine & Department of Molecular Biology, Ariel University, Ariel, Israel
| | - Mark Gold
- Department of Psychiatry, Washington University, School of Medicine, St. Louis, MO, USA
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Vandenberg A, Lin WC, Tai LH, Ron D, Wilbrecht L. Mice engineered to mimic a common Val66Met polymorphism in the BDNF gene show greater sensitivity to reversal in environmental contingencies. Dev Cogn Neurosci 2018; 34:34-41. [PMID: 29909248 PMCID: PMC6596311 DOI: 10.1016/j.dcn.2018.05.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 04/30/2018] [Accepted: 05/28/2018] [Indexed: 12/22/2022] Open
Abstract
A new line of mice,Val68Met, mimic human BDNF Val66Met polymorphism. New knock-in BDNF Met mice reverse more efficiently than Val in two separate tasks. Supports theory that BDNF Met allele confers greater sensitivity to the environment. Reversal performance can be dissociated from go/no-go and extinction performance. Phenotypes differ between newer and older BDNF Val66Met mouse models.
A common human polymorphism in the gene that encodes brain derived neurotrophic factor (BDNF), Val66Met, is considered a marker of vulnerability for mental health issues and has been associated with cognitive impairment. An alternate framework has been proposed in which “risk alleles” are reinterpreted as “plasticity alleles” that confer vulnerability in adverse environments and positive effects in neutral or positive environments (Belsky et al., 2009). These frameworks produce divergent predictions for tests of learning and cognitive flexibility. Here, we examined multiple aspects of learning and cognitive flexibility in a relatively new BDNF Val66Met mouse model (BDNF Val68Met, Warnault et al., 2016), including multiple choice discrimination and reversal, go/no-go learning and reversal, and appetitive extinction learning. We found that mice homozygous for the Met allele show more efficient reversal learning in two different paradigms, but learn at rates comparable to Val homozygotes on the multiple choice discrimination task, a go/no-go task, and in appetitive extinction. Our results dissociate reversal performance from go/no-go learning and appetitive extinction and support the plasticity allele framework that suggests BDNF Met carriers are potentially more sensitive to changes in the environment.
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Affiliation(s)
- Angela Vandenberg
- Neuroscience Graduate Program, University of California, San Francisco, CA, 94158, USA
| | - Wan Chen Lin
- Department of Psychology, University of California, Berkeley, CA, 94720, USA
| | - Lung-Hao Tai
- Department of Psychology, University of California, Berkeley, CA, 94720, USA
| | - Dorit Ron
- Department of Neurology, University of California, San Francisco, CA, 94158, USA
| | - Linda Wilbrecht
- Department of Psychology, University of California, Berkeley, CA, 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, 94720 USA.
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Suckling J, Nestor LJ. The neurobiology of addiction: the perspective from magnetic resonance imaging present and future. Addiction 2017; 112:360-369. [PMID: 27452960 PMCID: PMC5244682 DOI: 10.1111/add.13474] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 11/19/2015] [Accepted: 05/20/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS Addiction is associated with severe economic and social consequences and personal tragedies, the scientific exploration of which draws upon investigations at the molecular, cellular and systems levels with a wide variety of technologies. Magnetic resonance imaging (MRI) has been key to mapping effects observed at the microscopic and mesoscopic scales. The range of measurements from this apparatus has opened new avenues linking neurobiology to behaviour. This review considers the role of MRI in addiction research, and what future technological improvements might offer. METHODS A hermeneutic strategy supplemented by an expansive, systematic search of PubMed, Scopus and Web of Science databases, covering from database inception to October 2015, with a conjunction of search terms relevant to addiction and MRI. Formal meta-analyses were prioritized. RESULTS Results from methods that probe brain structure and function suggest frontostriatal circuitry disturbances within specific cognitive domains, some of which predict drug relapse and treatment response. New methods of processing imaging data are opening opportunities for understanding the role of cerebral vasculature, a global view of brain communication and the complex topology of the cortical surface and drug action. Future technological advances include increases in MRI field strength, with concomitant improvements in image quality. CONCLUSIONS The magnetic resonance imaging literature provides a limited but convergent picture of the neurobiology of addiction as global changes to brain structure and functional disturbances to frontostriatal circuitry, accompanied by changes in anterior white matter.
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Affiliation(s)
- John Suckling
- Department of Psychiatry and Behavioural and Clinical Neuroscience InstituteUniversity of CambridgeCambridgeUK,Cambridge and Peterborough Foundation NHS TrustCambridgeUK
| | - Liam J. Nestor
- Department of Psychiatry and Behavioural and Clinical Neuroscience InstituteUniversity of CambridgeCambridgeUK,Centre for Neuropsychopharmacology, Division of Brain SciencesImperial College LondonLondonUK
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Warnault V, Darcq E, Morisot N, Phamluong K, Wilbrecht L, Massa SM, Longo FM, Ron D. The BDNF Valine 68 to Methionine Polymorphism Increases Compulsive Alcohol Drinking in Mice That Is Reversed by Tropomyosin Receptor Kinase B Activation. Biol Psychiatry 2016; 79:463-73. [PMID: 26204799 PMCID: PMC4676961 DOI: 10.1016/j.biopsych.2015.06.007] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 05/26/2015] [Accepted: 06/01/2015] [Indexed: 12/15/2022]
Abstract
BACKGROUND The valine 66 to methionine (Met) polymorphism within the brain-derived neurotrophic factor (BDNF) sequence reduces activity-dependent BDNF release and is associated with psychiatric disorders in humans. Alcoholism is one of the most prevalent psychiatric diseases. Here, we tested the hypothesis that this polymorphism increases the severity of alcohol abuse disorders. METHODS We generated transgenic mice carrying the mouse homolog of the human Met66BDNF allele (Met68BDNF) and used alcohol-drinking paradigms in combination with viral-mediated gene delivery and pharmacology. RESULTS We found that Met68BDNF mice consumed excessive amounts of alcohol and continued to drink despite negative consequences, a hallmark of addiction. Importantly, compulsive alcohol intake was reversed by overexpression of the wild-type valine68BDNF allele in the ventromedial prefrontal cortex of the Met68BDNF mice or by systemic administration of the tropomyosin receptor kinase B agonist, LM22A-4. CONCLUSIONS Our findings suggest that carrying this BDNF allele increases the risk of developing uncontrolled and excessive alcohol drinking that can be reversed by directly activating the BDNF receptor, tropomyosin receptor kinase B. Importantly, this work identifies a potential therapeutic strategy for the treatment of compulsive alcohol drinking in humans carrying the Met66BDNF allele.
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Affiliation(s)
- Vincent Warnault
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Emmanuel Darcq
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Nadege Morisot
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Khanhky Phamluong
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Linda Wilbrecht
- Department of Psychology, University of California, Berkeley, Berkeley
| | - Stephen M Massa
- Department of Neurology, University of California, San Francisco, San Francisco; Laboratory for Computational Neurochemistry and Drug Discovery and Department of Veterans Affairs Medical Center, University of California, San Francisco, San Francisco
| | - Frank M Longo
- Department of Neurology and Neurological Sciences (FML), Stanford University School of Medicine, Stanford, California
| | - Dorit Ron
- Department of Neurology, University of California, San Francisco, San Francisco.
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