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Qeadan F, McCunn A, Tingey B. The association between glucose-dependent insulinotropic polypeptide and/or glucagon-like peptide-1 receptor agonist prescriptions and substance-related outcomes in patients with opioid and alcohol use disorders: A real-world data analysis. Addiction 2025; 120:236-250. [PMID: 39415416 PMCID: PMC11707322 DOI: 10.1111/add.16679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 08/29/2024] [Indexed: 10/18/2024]
Abstract
AIMS This study aimed to estimate the strength of association between prescriptions of glucose-dependent insulinotropic polypeptide (GIP) and/or glucagon-like peptide-1 receptor agonists (GLP-1 RA) and the incidence of opioid overdose and alcohol intoxication in patients with opioid use disorder (OUD) and alcohol use disorder (AUD), respectively. This study also aimed to compare the strength of the GIP/GLP-1 RA and substance use-outcome association among patients with comorbid type 2 diabetes and obesity. DESIGN A retrospective cohort study analyzing de-identified electronic health record data from the Oracle Cerner Real-World Data. SETTING About 136 United States of America health systems, covering over 100 million patients, spanning January 2014 to September 2022. PARTICIPANTS The study included 503 747 patients with a history of OUD and 817 309 patients with a history of AUD, aged 18 years or older. MEASUREMENTS The exposure indicated the presence (one or more) or absence of GIP/GLP-1 RA prescriptions. The outcomes were the incidence rates of opioid overdose in the OUD cohort and alcohol intoxication in the AUD cohort. Potential confounders included comorbidities and demographic factors. FINDINGS Patients with GIP/GLP-1 RA prescriptions demonstrated statistically significantly lower rates of opioid overdose [adjusted incidence rate ratio (aIRR) in OUD patients: 0.60; 95% confidence interval (CI) = 0.43-0.83] and alcohol intoxication (aIRR in AUD patients: 0.50; 95% CI = 0.40-0.63) compared to those without such prescriptions. When stratified by comorbid conditions, the rate of incident opioid overdose and alcohol intoxication remained similarly protective for those prescribed GIP/GLP-1 RA among patients with OUD and AUD. CONCLUSIONS Prescriptions of glucose-dependent insulinotropic polypeptide and/or glucagon-like peptide-1 receptor agonists appear to be associated with lower rates of opioid overdose and alcohol intoxication in patients with opioid use disorder and alcohol use disorder. The protective effects are consistent across various subgroups, including patients with comorbid type 2 diabetes and obesity.
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Affiliation(s)
- Fares Qeadan
- Parkinson School of Health Sciences and Public HealthLoyola University ChicagoMaywoodILUSA
| | - Ashlie McCunn
- Parkinson School of Health Sciences and Public HealthLoyola University ChicagoMaywoodILUSA
| | - Benjamin Tingey
- Parkinson School of Health Sciences and Public HealthLoyola University ChicagoMaywoodILUSA
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Chang YSG, McMahan VM, Marti XL, Pope E, Wolfe S, Majeski A, Reed G, Walley AY, Coffin PO. Perception and Correlates of Opioid Overdose Risk Among Overdose Survivors Who Use Nonprescribed Opioids in San Francisco and Boston. SUBSTANCE USE & ADDICTION JOURNAL 2024; 45:559-567. [PMID: 38456483 PMCID: PMC11588015 DOI: 10.1177/29767342241237202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
BACKGROUND Understanding opioid overdose risk perception may inform overdose prevention strategies. METHODS We used baseline data from a randomized overdose prevention trial, in San Francisco, CA, and Boston, MA, among people who used nonprescribed opioids, survived an overdose in the past 3 years, and had received naloxone. Participants were asked how likely they were to overdose in the next 4 months. We combined "extremely likely" and "likely" (higher risk perception) and "neutral," "unlikely," and "extremely unlikely" (lower risk perception). We performed bivariate analyses and separate multivariable logistic regression models of risk perception across (1) sociodemographic, (2) substance use, and (3) overdose risk behavior measures. Covariates were selected a priori or significant in bivariate analyses. RESULTS Among 268 participants, 88% reported at least 1 overdose risk behavior; however, only 21% reported higher risk perception. The adjusted odds ratio (AOR) of higher risk perception was 2.41 (95% confidence interval [CI]: 1.10-5.30) among those unhoused in the past 4 months, 2.06 (95% CI: 1.05-4.05) among those using opioids in a new place, and 5.61 (95% CI: 2.82-11.16) among those who had overdosed in the past 4 months. Living in Boston was associated with higher risk perception in all 3 models (AOR = 2.00-2.46, 95% CI: 1.04-4.88). CONCLUSIONS Despite prevalent risk behaviors, a minority of participants perceived themselves to be at higher risk of overdose. Nonetheless, some known risk factors for overdose were appropriately associated with risk perception. Fentanyl has been prevalent in Boston for longer than San Francisco, which may explain the higher risk perception there.
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Affiliation(s)
- Yi-Shin Grace Chang
- Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA
| | - Vanessa M McMahan
- Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA
| | - Xochitl Luna Marti
- Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA
| | - Emily Pope
- Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA
| | - Shae Wolfe
- Grayken Center for Addiction and Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
| | - Adam Majeski
- Grayken Center for Addiction and Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
| | - Gabriela Reed
- Grayken Center for Addiction and Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
| | - Alexander Y Walley
- Grayken Center for Addiction and Clinical Addiction Research and Education (CARE) Unit, Section of General Internal Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA
| | - Phillip O Coffin
- Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA
- University of California, San Francisco, San Francisco, CA
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Reed EN, Papp J, Oh Y, LeVine K, Tarabichi Y, Bastian E, Pollock K, Wilson LD, Siff J, Piktel JS. Evaluation of an emergency department-based approach to reduce subsequent opioid overdoses. J Am Coll Emerg Physicians Open 2024; 5:e13304. [PMID: 39445120 PMCID: PMC11496383 DOI: 10.1002/emp2.13304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 08/15/2024] [Accepted: 08/23/2024] [Indexed: 10/25/2024] Open
Abstract
Objective The purpose of this study was to determine the association of a multi-pronged treatment program in emergency department (ED) patients with an acute presentation of opioid use disorder (OUD) on the rate of subsequent opioid overdose (OD). This approach included ED-initiated take-home naloxone, prescription buprenorphine, and an ED-based peer support and recovery program. Methods This was a retrospective observational analysis of adult patients presenting to the ED at a large urban hospital system from November 1, 2017 to March 17, 2023. Patients with an ED discharge diagnosis of OD or OUD were included. Outcomes determined were subsequent 90-day OD and 180-day OD death. Post hoc analyses were performed to identify intervention utilization throughout the study period including the COVID-19 pandemic as well as ED characteristics associated with subsequent OD and OD death. Statistical comparisons were made using logistic regression and chi-squared test. Results A total of 2634 patients presented to the ED with an opioid OD or diagnosis of OUD. Subsequent 90-day OD decreased significantly over time (11.5%-2.3%, odds ratio [OR] 0.85, confidence interval [CI] 0.82-0.89). No single intervention was independently associated with 90-day OD or 180-day OD death. Resource utilization was stable during the COVID-19 pandemic and increased afterward. A higher buprenorphine fill-rate among all patients and the Back race subgroup was associated with a decrease in 90-day OD. Conclusions Subsequent OD and OD death decreased over time after implementation of a multi-pronged treatment program to ED patients with OUD. No single intervention was associated with a decrease of subsequent OD or OD death.
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Affiliation(s)
- Eric N. Reed
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Joan Papp
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Yesol Oh
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Kellie LeVine
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Yasir Tarabichi
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Estella Bastian
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Kailee Pollock
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Lance D. Wilson
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Jonathan Siff
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
| | - Joseph S. Piktel
- Department of Emergency MedicineThe MetroHealth SystemCase Western Reserve UniversityClevelandOhioUSA
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Treitler P, Crystal S, Cantor J, Chakravarty S, Kline A, Morton C, Powell KG, Borys S, Cooperman NA. Emergency Department Peer Support Program and Patient Outcomes After Opioid Overdose. JAMA Netw Open 2024; 7:e243614. [PMID: 38526490 PMCID: PMC10964115 DOI: 10.1001/jamanetworkopen.2024.3614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 01/30/2024] [Indexed: 03/26/2024] Open
Abstract
Importance Patients treated in emergency departments (EDs) for opioid overdose often need drug treatment yet are rarely linked to services after discharge. Emergency department-based peer support is a promising approach for promoting treatment linkage, but evidence of its effectiveness is lacking. Objective To examine the association of the Opioid Overdose Recovery Program (OORP), an ED peer recovery support service, with postdischarge addiction treatment initiation, repeat overdose, and acute care utilization. Design, Setting, and Participants This intention-to-treat retrospective cohort study used 2014 to 2020 New Jersey Medicaid data for Medicaid enrollees aged 18 to 64 years who were treated for nonfatal opioid overdose from January 2015 to June 2020 at 70 New Jersey acute care hospitals. Data were analyzed from August 2022 to November 2023. Exposure Hospital OORP implementation. Main Outcomes and Measures The primary outcome was medication for opioid use disorder (MOUD) initiation within 60 days of discharge. Secondary outcomes included psychosocial treatment initiation, medically treated drug overdoses, and all-cause acute care visits after discharge. An event study design was used to compare 180-day outcomes between patients treated in OORP hospitals and those treated in non-OORP hospitals. Analyses adjusted for patient demographics, comorbidities, and prior service use and for community-level sociodemographics and drug treatment access. Results A total of 12 046 individuals were included in the study (62.0% male). Preimplementation outcome trends were similar for patients treated in OORP and non-OORP hospitals. Implementation of the OORP was associated with an increase of 0.034 (95% CI, 0.004-0.064) in the probability of 60-day MOUD initiation in the half-year after implementation, representing a 45% increase above the preimplementation mean probability of 0.075 (95% CI, 0.066-0.084). Program implementation was associated with fewer repeat medically treated overdoses 4 half-years (-0.086; 95% CI, -0.154 to -0.018) and 5 half-years (-0.106; 95% CI, -0.184 to -0.028) after implementation. Results differed slightly depending on the reference period used, and hospital-specific models showed substantial heterogeneity in program outcomes across facilities. Conclusions and Relevance In this cohort study of patients treated for opioid overdose, OORP implementation was associated with an increase in MOUD initiation and a decrease in repeat medically treated overdoses. The large variation in outcomes across hospitals suggests that treatment effects were heterogeneous and may depend on factors such as implementation success, program embeddedness, and availability of other hospital- and community-based OUD services.
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Affiliation(s)
- Peter Treitler
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
- Boston University School of Social Work, Boston, Massachusetts
| | - Stephen Crystal
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
- School of Social Work, Rutgers University, New Brunswick, New Jersey
- School of Public Health, Rutgers University, Piscataway, New Jersey
| | - Joel Cantor
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
| | - Sujoy Chakravarty
- Department of Health Sciences, Rutgers University, Camden, New Jersey
| | - Anna Kline
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Cory Morton
- School of Social Work, Rutgers University, New Brunswick, New Jersey
- Center for Prevention Science, Rutgers University, New Brunswick, New Jersey
- Northeast and Caribbean Prevention Technology Transfer Center, Rutgers University, New Brunswick, New Jersey
| | - Kristen Gilmore Powell
- School of Social Work, Rutgers University, New Brunswick, New Jersey
- Center for Prevention Science, Rutgers University, New Brunswick, New Jersey
- Northeast and Caribbean Prevention Technology Transfer Center, Rutgers University, New Brunswick, New Jersey
| | - Suzanne Borys
- Division of Mental Health and Addiction Services, New Jersey Department of Human Services, Trenton
| | - Nina A. Cooperman
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
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Williams AR, Rowe C, Minarik L, Gray Z, Murphy SM, Pincus HA. Use of in-network insurance benefits is critical for improving retention in telehealth-based buprenorphine treatment. HEALTH AFFAIRS SCHOLAR 2024; 2:qxae009. [PMID: 38450044 PMCID: PMC10914333 DOI: 10.1093/haschl/qxae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/16/2024] [Accepted: 01/29/2024] [Indexed: 03/08/2024]
Abstract
An empiric evidence base is lacking regarding the relationship between insurance status, payment source, and outcomes among patients with opioid use disorder (OUD) on telehealth platforms. Such information gaps may lead to unintended impacts of policy changes. Following the phase-out of the COVID-19 Public Health Emergency, states were allowed to redetermine Medicaid eligibility and disenroll individuals. Yet, financial barriers remain a common and significant hurdle for patients with OUD and are associated with worse outcomes. We studied 3842 patients entering care in 2022 at Ophelia Health, one of the nation's largest OUD telehealth companies, to assess associations between insurance status and 6-month retention. In multivariable analyses, in-network patients who could use insurance benefits were more likely to be retained compared with cash-pay patients (adjusted risk ratio [aRR]: 1.50; 95% CI: 1.40-1.62; P < .001). Among a subsample of 882 patients for whom more detailed insurance data were available (due to phased-in electronic health record updates), in-network patients were also more likely to be retained at 6 months compared with insured, yet out-of-network patients (aRR: 1.86; 95% CI: 1.54-2.23; P < .001). Findings show that insurance status, and specifically the use of in-network benefits, is associated with superior retention and suggest that Medicaid disenrollment and insurance plan hesitation to engage with telehealth providers may undermine the nation's response to the opioid crisis.
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Affiliation(s)
- Arthur Robin Williams
- Ophelia Health, Inc, New York, NY 10003, United States
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, United States
| | | | - Lexie Minarik
- Ophelia Health, Inc, New York, NY 10003, United States
| | - Zack Gray
- Ophelia Health, Inc, New York, NY 10003, United States
| | - Sean M Murphy
- Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States
| | - Harold A Pincus
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, United States
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Tipping AD, Nowels M, Moore C, Samples H, Crystal S, Olfson M, Williams AR, Heaps-Woodruff J. Association of medications for opioid use disorder with reduced risk of repeat opioid overdose in Medicaid: A cohort study. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2024; 157:209218. [PMID: 37984564 PMCID: PMC10922317 DOI: 10.1016/j.josat.2023.209218] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 06/03/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Following a nonfatal opioid overdose, patients are at high risk for repeat overdose. The objective of this study was to examine the association of MOUD after nonfatal opioid overdose with risk of repeat overdose in the following year. METHODS This retrospective cohort study analyzed Missouri Medicaid claims from July 2012 to December 2021. The study identified opioid overdoses occurring between 2013 and 2020 using diagnosis codes for opioid poisoning in an inpatient or emergency department setting. The study implemented Cox models with a time-varying covariate for post-overdose receipt of MOUD. RESULTS During the study period, MOUD receipt after overdose more than tripled, from 4.8 % to 18.9 %. Overall, only 12.1 % of patients received MOUD in the year after index. MOUD during follow-up was associated with significantly lower risk of repeat overdose (HR = 0.34, 95 % CI = 0.14-0.82). Out of 3017 individuals meeting inclusion criteria, 13.6 % had a repeat opioid overdose within 1 year. Repeat overdose risk was higher for those whose index overdose involved heroin or synthetic opioids (HR = 1.71, 95 % CI = 1.35-2.15), but MOUD was associated with significantly reduced risk in this group (HR = 0.34, 95 % CI = 0.13-0.92). CONCLUSIONS MOUD receipt was associated with reduced risk of repeat overdose. Those whose index overdoses involved heroin or synthetic opioids were at greater risk of repeat overdose, but MOUD was associated with reduced risk in this group.
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Affiliation(s)
- Andrew D Tipping
- Missouri Institute of Mental Health, University of Missouri - St. Louis, 1 University Blvd, St. Louis, MO 63121, USA.
| | - Molly Nowels
- Center for Health Services Research, Institute for Health, Rutgers University, 112 Paterson Street, New Brunswick, NJ 08901, USA.
| | - Clara Moore
- Missouri Institute of Mental Health, University of Missouri - St. Louis, 1 University Blvd, St. Louis, MO 63121, USA.
| | - Hillary Samples
- Center for Health Services Research, Institute for Health, Rutgers University, 112 Paterson Street, New Brunswick, NJ 08901, USA.
| | - Stephen Crystal
- Center for Health Services Research, Institute for Health, Rutgers University, 112 Paterson Street, New Brunswick, NJ 08901, USA; School of Social Work, Rutgers University, 536 George Street, New Brunswick, NJ 08901, USA.
| | - Mark Olfson
- Vagelos College of Physicians and Surgeons, 630 W 168th St, Columbia University, New York, NY 10032, USA; Mailman School of Public Health, Columbia University, 722 W 168th St., New York, NY 10032, USA.
| | - Arthur Robinson Williams
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, 1051 Riverside Dr., New York, NY 10032, USA.
| | - Jodi Heaps-Woodruff
- Missouri Institute of Mental Health, University of Missouri - St. Louis, 1 University Blvd, St. Louis, MO 63121, USA.
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Bremer PT, Burke EL, Barrett AC, Desai RI. Investigation of monoclonal antibody CSX-1004 for fentanyl overdose. Nat Commun 2023; 14:7700. [PMID: 38052779 PMCID: PMC10698161 DOI: 10.1038/s41467-023-43126-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 11/01/2023] [Indexed: 12/07/2023] Open
Abstract
The opioid crisis in the United States is primarily driven by the highly potent synthetic opioid fentanyl leading to >70,000 overdose deaths annually; thus, new therapies for fentanyl overdose are urgently needed. Here, we present the first clinic-ready, fully human monoclonal antibody CSX-1004 with picomolar affinity for fentanyl and related analogs. In mice CSX-1004 reverses fentanyl antinociception and the intractable respiratory depression caused by the ultrapotent opioid carfentanil. Moreover, toxicokinetic evaluation in a repeat-dose rat study and human tissue cross-reactivity study reveals a favorable pharmacokinetic profile of CSX-1004 with no safety-related issues. Using a highly translational non-human primate (NHP) model of respiratory depression, we demonstrate CSX-1004-mediated protection from repeated fentanyl challenges for 3-4 weeks. Furthermore, treatment with CSX-1004 produces up to a 15-fold potency reduction of fentanyl in NHP respiration, antinociception and operant responding assays without affecting non-fentanyl opioids like oxycodone. Taken together, our data establish the feasibility of CSX-1004 as a promising candidate medication for preventing and reversing fentanyl-induced overdose.
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Affiliation(s)
| | - Emily L Burke
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Behavioral Biology Program, Integrative Neurochemistry Laboratory, McLean Hospital, Belmont, MA, USA
| | | | - Rajeev I Desai
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Behavioral Biology Program, Integrative Neurochemistry Laboratory, McLean Hospital, Belmont, MA, USA
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Hammerslag L, Talbert J, Donohue JM, Sharbaugh M, Ahrens K, Allen L, Austin AE, Gordon AJ, Jarlenski M, Kim JY, Mohamoud S, Tang L, Burns M. Urine drug testing among Medicaid enrollees initiating buprenorphine treatment for opioid use disorder within 9 MODRN states. Drug Alcohol Depend 2023; 250:110875. [PMID: 37413960 PMCID: PMC10529442 DOI: 10.1016/j.drugalcdep.2023.110875] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Treatment guidelines recommend regular urine drug testing (UDT) for persons initiating buprenorphine for opioid use disorder (OUD). However, little is known about UDT utilization. We describe state variation in UDT utilization and examine demographic, health, and health care utilization factors associated with UDT in Medicaid. METHODS We used Medicaid claims and enrollment data from persons initiating buprenorphine treatment for OUD during 2016-2019 in 9 states (DE, KY, MD, ME, MI, NC, PA, WI, WV). The main outcome was at least 1 UDT within 180 days of buprenorphine initiation, the secondary outcome was at least 3. Logistic regression models included demographics, pre-initiation comorbidities, and health service use. State estimates were pooled using meta-analysis. RESULTS The study cohort included 162,437 Medicaid enrollees initiating buprenorphine. The percent receiving ≥1 UDT varied from 62.1% to 89.8% by state. In the pooled analysis, enrollees with pre-initiation UDT had much higher odds of ≥1 UDT after initiation (aOR=3.83, 3.09-4.73); odds were also higher for enrollees with HIV, HCV, and/or HBV infection (aOR=1.25, 1.05-1.48) or who initiated in later years (2018 v 2016: aOR=1.39, 1.03-1.89; 2019 v 2016: aOR=1.67, 1.24-2.25). The odds of having ≥3 UDT were lower with pre-initiation opioid overdose (aOR=0.79, 0.64-0.96) and higher with pre-initiation UDT (aOR=2.63, 2.13-3.25) or OUD care (aOR=1.35, 1.04-1.74). The direction of associations with demographics varied by state. CONCLUSIONS Rates of UDT increased over time and there was variability among states in UDT rates and demographic predictors of UDT. Pre-initiation conditions, UDT, and OUD care were associated with UDT.
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Affiliation(s)
- Lindsey Hammerslag
- Division of Biomedical Informatics, College of Medicine, University of Kentucky, United States.
| | - Jeffery Talbert
- Institute for Biomedical Informatics, College of Medicine, University of Kentucky, United States
| | - Julie M Donohue
- Health Policy and Management, University of Pittsburgh School of Public Health, United States
| | - Michael Sharbaugh
- Department of Health Policy and Management, University of Pittsburgh School of Public Health, United States
| | - Katherine Ahrens
- University of Southern Maine, Muskie School of Public Service, United States
| | - Lindsay Allen
- Feinberg School of Medicine, Northwestern University, United States
| | - Anna E Austin
- Gillings School of Global Public Health and Injury Prevention Research Center, University of North Carolina at Chapel Hill, United States
| | - Adam J Gordon
- Program for Addiction Research, Clinical Care, Knowledge, and Advocacy, Department of Internal Medicine, University of Utah School of Medicine and VA Salt Lake City Health Care System, United States
| | - Marian Jarlenski
- Department of Health Policy and Management, University of Pittsburgh School of Public Health, United States
| | - Joo Yeon Kim
- Department of Health Policy and Management, University of Pittsburgh School of Public Health, United States
| | - Shamis Mohamoud
- The Hilltop Institute, University of Maryland Baltimore County, United States
| | - Lu Tang
- Department of Biostatistics, University of Pittsburgh School of Public Health, United States
| | - Marguerite Burns
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, United States
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9
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Treitler P, Nowels M, Samples H, Crystal S. Buprenorphine Utilization and Prescribing Among New Jersey Medicaid Beneficiaries After Adoption of Initiatives Designed to Improve Treatment Access. JAMA Netw Open 2023; 6:e2312030. [PMID: 37145594 PMCID: PMC10163388 DOI: 10.1001/jamanetworkopen.2023.12030] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 03/20/2023] [Indexed: 05/06/2023] Open
Abstract
Importance Buprenorphine is underutilized as a treatment for opioid use disorder (OUD); state policies may improve buprenorphine access and utilization. Objective To assess buprenorphine prescribing trends following New Jersey Medicaid initiatives designed to improve access. Design, Setting, and Participants This cross-sectional interrupted time series analysis included New Jersey Medicaid beneficiaries who were prescribed buprenorphine and had 12 months continuous Medicaid enrollment, OUD diagnosis, and no Medicare dual eligibility, as well as physician or advanced practitioners who prescribed buprenorphine to Medicaid beneficiaries. The study used Medicaid claims data from 2017 to 2021. Exposure Implementation of New Jersey Medicaid initiatives in 2019 that removed prior authorizations, increased reimbursement for office-based OUD treatment, and established regional Centers of Excellence. Main Outcomes and Measures Rate of buprenorphine receipt per 1000 beneficiaries with OUD; percentage of new buprenorphine episodes lasting at least 180 days; buprenorphine prescribing rate per 1000 Medicaid prescribers, overall and by specialty. Results Of 101 423 Medicaid beneficiaries (mean [SD] age, 41.0 [11.6] years; 54 726 [54.0%] male; 30 071 [29.6%] Black, 10 143 [10.0%] Hispanic, and 51 238 [50.5%] White), 20 090 filled at least 1 prescription for buprenorphine from 1788 prescribers. Policy implementation was associated with an inflection point in buprenorphine prescribing trend; after implementation, the trend increased by 36%, from 1.29 (95% CI, 1.02-1.56) prescriptions per 1000 beneficiaries with OUD to 1.76 (95% CI, 1.46-2.06) prescriptions per 1000 beneficiaries with OUD. Among beneficiaries with new buprenorphine episodes, the percentage retained for at least 180 days was stable before and after initiatives were implemented. The initiatives were associated with an increase in the growth rate of buprenorphine prescribers (0.43 per 1000 prescribers; 95% CI, 0.34 to 0.51 per 1000 prescribers). Trends were similar across specialties, but increases were most pronounced among primary care and emergency medicine physicians (eg, primary care: 0.42 per 1000 prescribers; 95% CI, 0.32-0.53 per 1000 prescribers). Advanced practitioners accounted for a growing percentage of buprenorphine prescribers, with a monthly increase of 0.42 per 1000 prescribers (95% CI, 0.32-0.52 per 1000 prescribers). A secondary analysis to test for changes associated with non-state-specific secular trends in prescribing found that quarterly trends in buprenorphine prescriptions increased in New Jersey relative to all other states following initiative implementation. Conclusions and Relevance In this cross-sectional study of state-level New Jersey Medicaid initiatives designed to expand buprenorphine access, implementation was associated with an upward trend in buprenorphine prescribing and receipt. No change was observed in the percentage of new buprenorphine treatment episodes lasting 180 or more days, indicating that retention remains a challenge. Findings support implementation of similar initiatives but highlight the need for efforts to support long-term retention.
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Affiliation(s)
- Peter Treitler
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
- School of Social Work, Rutgers University, New Brunswick, New Jersey
| | - Molly Nowels
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
- School of Public Health, Rutgers University, Piscataway, New Jersey
| | - Hillary Samples
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
- School of Public Health, Rutgers University, Piscataway, New Jersey
| | - Stephen Crystal
- Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey
- School of Social Work, Rutgers University, New Brunswick, New Jersey
- School of Public Health, Rutgers University, Piscataway, New Jersey
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Brezing CA, Brixner DI. The Rise of Prescription Digital Therapeutics in Behavioral Health. Adv Ther 2022; 39:5301-5306. [PMID: 36242730 PMCID: PMC9569000 DOI: 10.1007/s12325-022-02320-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/07/2022] [Indexed: 01/30/2023]
Abstract
Medicine is evolving to incorporate digital technologies of all kinds-technologies that may improve patient health, reduce clinician workload, lower costs, reduce health disparities, and expand access to needed treatments. Prescription digital therapeutics (PDTs) are an emerging technology with particular potential. These are software-based treatments delivered on mobile devices that address the behavioral dimensions of many diseases and conditions. Unlike health and wellness apps, PDTs are rigorously evaluated for safety and effectiveness and are authorized by the US Food and Drug Administration (FDA). Nine PDTs are currently authorized to treat conditions such as substance use disorders, attention-deficit disorder, and chronic insomnia. The findings reported in two recent research papers published by Advances in Therapy related to use of PDTs for substance use disorder and opioid use disorder provide real-world evidence of clinical and cost effectiveness, strengthening the evidence base for these technologies and suggesting a role for these technologies in the efforts to help patients recover from these often-chronic and deadly conditions.
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Affiliation(s)
- Christina A. Brezing
- grid.21729.3f0000000419368729Department of Psychiatry, Columbia University, New York, NY USA
| | - Diana I. Brixner
- grid.223827.e0000 0001 2193 0096University of Utah College of Pharmacy, Salt Lake City, UT USA
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