Author information

¹Yale School of Medicine, Section of Infectious Diseases, New Haven, CT, United States. Electronic address: roman.ivasiy@yale.edu.

²Yale School of Medicine, Section of Infectious Diseases, New Haven, CT, United States; APT Foundation, New Haven, CT, United States.

³Yale School of Medicine, Section of Infectious Diseases, New Haven, CT, United States.

⁴College of Behavioral and Community Science, Department of Mental Health Law and Policy, University of South Florida, Tampa, FL, United States.

⁵Yale School of Medicine, New Haven, CT, United States.

⁶Yale School of Medicine, Section of Infectious Diseases, New Haven, CT, United States; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States.

⁷Yale School of Medicine, Section of Infectious Diseases, New Haven, CT, United States; APT Foundation, New Haven, CT, United States; Center for Interdisciplinary Research on AIDS, Yale University, New Haven, CT, United States; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States; Yale School of Public Health, Department of Epidemiology of Microbial Diseases, New Haven, CT, United States. Electronic address: Frederick.Altice@yale.edu.

Abstract

Background: Opioid use disorder (OUD) significantly impacts individual and public health and exacerbated further by concurrent infectious diseases. A syndemic approach is needed to address the intertwined OUD, HIV, and HCV epidemics, including the expanded use of medications for opioid use disorder (MOUD).

Methods: To identify MOUD scale-up opportunities, we conducted a retrospective cohort study, representing commercially insured persons, and created the OUD care continuum, including HIV and HCV influences in adults (18-64 years) newly diagnosed with OUD in 2019 using Merative MarketSan data.

Results: Among 124,467,633 individuals, the prevalence of OUD was 0.4 % (95 % CI: 0.36 %-0.46 %; N = 497,871), with 327,277 (65.7 %, 95 % CI: 65.60 %-65.87 %) newly diagnosed in 2019. Among these newly diagnosed individuals (54 % men, mean age 44±0.01), 53,568 (27.0 %, 95 % CI: 26.4 %-27.5 %) were prescribed MOUD, with retention rates at 1, 3, and 6 months being 89.0 % (95 % CI: 88.2 %-89.8 %), 66.0 % (95 % CI: 64.8 %-67.2 %), and 50.3 % (95 % CI: 48.3 %-51.6 %), respectively. Buprenorphine was the most prescribed MOUD (79.6 %, 95 % CI: 78.6 %-80.7 %), followed by XR-NTX (14.9 %, 95 % CI:14.0 %-15.8 %) and methadone (5.5 %, 95 % CI: 4.9 %-6.1 %). Six-month retention was highest for methadone (73.4 %, 95 % CI: 73.0 %-73.8 %), however, followed by buprenorphine (55.7 %, 95 % CI: 55.3 %-57.1 %) and substantially lower for XR-NTX (12.6 %, 95 % CI: 10.6 %-14.6 %). Screening for HIV and HCV was low among OUD enrollees (11.1 %, 14.4 %), slightly higher for MOUD initiators (18.0 %, 21.6 %). Being prescribed MOUD was correlated with HCV infection (AOR: 2.54; 95 % CI: 2.41-2.68), HCV/HIV coinfection (AOR: 1.89; 95 % CI: 1.41-2.53), and hospitalization for OUD-related services (AOR: 1.14; 95 % CI: 1.11-1.17), yet hospitalization for OUD-related services was positively correlated with XR-NTX (AOR: 2.72; 95 % CI: 2.56-2.85) prescription and negatively with methadone (AOR: 0.19; 95 % CI: 0.16-0.23) prescription. Having HIV was negatively correlated with being prescribed methadone (AOR: 0.33; 95 % CI: 0.13-0.86).

Conclusions: Substantial gaps in the OUD cascade persist, underscoring better implementation opportunities for MOUD prescription in hospital-based settings and expanding access to methadone beyond highly regulated sites given its low coverage yet high treatment retention.