Literature Collection

The Affordable Care Act (ACA) was expected to benefit patients with substance use disorders, including opioid use disorders (OUDs). This study examined buprenorphine use and health services utilization by patients with OUDs pre- and post-ACA in a large health care system. Using electronic health record data, we examined demographic and clinical characteristics (substance use, psychiatric and medical conditions) of two patient cohorts using buprenorphine: those newly enrolled in 2012 ("pre-ACA," N = 204) and in 2014 ("post-ACA," N = 258). Logistic and negative binomial regressions were used to model persistent buprenorphine use, and to examine whether persistent use was related to health services utilization. Buprenorphine patients were largely similar pre- and post-ACA, although more post-ACA patients had a marijuana use disorder (p < .01). Post-ACA patients were more likely to have high-deductible benefit plans (p < .01). Use of psychiatry services was lower post-ACA (IRR: 0.56, p < .01), and high-deductible plans were also related to lower use of psychiatry services (IRR: 0.30, p < .01). The relationship between marijuana use disorder and prescription opioid use is complex, and deserves further study, particularly with increasingly widespread marijuana legalization. Access to psychiatry services may be more challenging for buprenorphine patients post-ACA, especially for patients with deductible plans.

Substantial increases in opioid-related morbidity and mortality have motivated the implementation of federal policies to expand the buprenorphine prescribing capacity of primary care providers and other clinicians. Using a national prescription database that covered 72-92 percent of the US population during 2010-18, we analyzed trends in buprenorphine treatment by prescriber specialty. Buprenorphine treatment rates by primary care providers increased from 12.9 people per 10,000 population in 2010 to 27.4 in 2018. The numbers for psychiatrists and addiction medicine specialists increased from 8.7 to 12.0 per 10,000 and those for other prescribers from 5.8 to 16.3 per 10,000. However, treatment of people ages 15-24 by primary care providers and by psychiatrists and addiction medicine specialists declined significantly. Across all patient age and provider groups, most patients were not retained on buprenorphine for the benchmark period of at least 180 days. Despite a recent national increase in buprenorphine treatment fueled primarily by nonspecialists, challenges persist with buprenorphine access-especially for younger people-and with retaining patients in long-term treatment.

: In the past decade, a new cohort of adolescents and young adults with opioid use disorders (OUD) has emerged. While medications and psychosocial treatments are available, few adolescents and young adults with OUD can access and remain in treatment. Effective, practical, and scalable treatment paradigms for this young population are needed. Buprenorphine is a medication with unique pharmacological and regulatory characteristics that make it a promising component of adolescent and young adult OUD treatment models. Three randomized controlled trials and multiple observational studies have evaluated the use of buprenorphine to treat this population. However, data from these studies have not been consolidated into an up-to-date summary that may be useful to clinicians. The objective of this narrative review is to inform clinical practice by summarizing results of primary and secondary analyses from randomized controlled clinical trials and observational studies that have evaluated the use of buprenorphine to treat adolescents and young adults with OUD. Based on results from these studies, we encourage the conceptualization of OUD among youth as a chronic medical condition requiring a long-term management strategy. This includes treatment with buprenorphine in conjunction with medication-prescribing protocols that do not necessarily require daily clinic attendance for observed medication adherence. However, more study of treatment delivery models, addressing such issues as medication adherence and intensity requirements, is needed to determine practices that optimize outcomes for youth.