Importance: While many individuals with opioid use disorder seek treatment at residential facilities to initiate long-term recovery, the availability and use of medications for opioid use disorder (MOUDs) in these facilities is unclear.
Objective: To examine differences in MOUD availability and use in residential facilities as a function of Medicaid policy, facility-level factors associated with MOUD availability, and admissions-level factors associated with MOUD use.
Design, Setting, And Participants: This cross-sectional study used deidentified facility-level and admissions-level data from 2863 residential treatment facilities and 232 414 admissions in the United States in 2017. Facility-level data were extracted from the 2017 National Survey of Substance Abuse Treatment Services, and admissions-level data were extracted from the 2017 Treatment Episode Data Set-Admissions. Statistical analyses were conducted from June to November 2019.
Exposures: Admissions for opioid use disorder at residential treatment facilities in the United States that identified opioids as the patient's primary drug of choice.
Main Outcomes And Measures: Availability and use of 3 MOUDs (ie, extended-release naltrexone, buprenorphine, and methadone).
Results: Of 232 414 admissions, 205 612 (88.5%) contained complete demographic data (166 213 [80.8%] aged 25-54 years; 136 854 [66.6%] men; 151 867 [73.9%] white). Among all admissions, MOUDs were used in only 34 058 of 192 336 (17.7%) in states that expanded Medicaid and 775 of 40 078 (1.9%) in states that did not expand Medicaid (P < .001). A relatively low percentage of the 2863 residential treatment facilities in this study offered extended-release naltrexone (854 [29.8%]), buprenorphine (953 [33.3%]), or methadone (60 [2.1%]). Compared with residential facilities that offered at least 1 MOUD, those that offered no MOUDs had lower odds of also offering psychiatric medications (odds ratio [OR], 0.06; 95% CI, 0.05-0.08; Wald χ21 = 542.09; P < .001), being licensed by a state or hospital authority (OR, 0.39; 95% CI, 0.27-0.57; Wald χ21 = 24.28; P < .001), or being accredited by a health organization (OR, 0.28; 95% CI, 0.23-0.33; Wald χ21 = 180.91; P < .001). Residential facilities that did not offer any MOUDs had higher odds of accepting cash-only payments than those that offered at least 1 MOUD (OR, 4.80; 95% CI, 3.47-6.64; Wald χ21 = 89.65; P < .001).
Conclusions And Relevance: In this cross-sectional study of residential addiction treatment facilities in the United States, MOUD availability and use were sparse. Public health and policy efforts to improve access to and use of MOUDs in residential treatment facilities could improve treatment outcomes for individuals with opioid use disorder who are initiating recovery.
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http://dx.doi.org/10.1001/jamanetworkopen.2019.20843 | DOI Listing |
Prehosp Emerg Care
January 2025
Medical College of Wisconsin, Department of Emergency Medicine.
Objectives: Medication for opioid use disorder (MOUD) reduces morbidity and mortality for patients with opioid use disorder (OUD). Recent administrative and legislative changes have made MOUD possible in the prehospital setting. We use an implementation science framework to outline the Reach of a fire department EMS-based Mobile Integrated Health (MIH) prehospital MOUD program.
View Article and Find Full Text PDFCurr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
J Addict Med
January 2025
From the Division of General Internal Medicine, San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA (LWS); San Francisco Department of Public Health, San Francisco, CA (POC); Vital Strategies, New York, NY (KB, DC); Network for Public Health Law, Edina, MN (CSD); and New York University Grossman School of Medicine, New York, NY (CSD).
Stimulant use disorder (StUD) is a rapidly growing concern in the United States, with escalating rates of death attributed to amphetamines and cocaine. No medications are currently approved for StUD treatment, leaving clinicians to navigate off-label medication options. Recent studies suggest that controlled prescription psychostimulants such as dextroamphetamine, methylphenidate, and modafinil are associated with reductions in self-reported stimulant use, craving, and depressive symptoms.
View Article and Find Full Text PDFDrug Alcohol Depend Rep
March 2025
Center to Improve Veteran Involvement in Care, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, United States.
Aim: We examined differences in medications for opioid use disorder (MOUD) receipt between rural and urban veteran patients following initiatives within the US Department of Veterans Affairs (VA) to expand access to MOUD.
Methods: Data for this retrospective cohort study were obtained from the VA Corporate Data Warehouse, which contains national electronic health record data for all VA patients. The analytic sample included all patients diagnosed with OUD from 10/1/2018-9/30/20.
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