Prescription drug monitoring programs increase racial/ethnic inequities in unmet demand for substance use disorder treatment among people who inject drugs. A repeated cross-sectional analysis of people who inject drugs in 19 US metro areas in 2012, 2015, 2018, and 2022
Ibragimov, U.; Beane, S.; Haardörfer, R.; Haley, D. F.; Yarbrough, C. R.; Linton, S.; Beletsky, L.; Cooper, H. L.
Show abstract
BackgroundEvidence indicates that prescription drug monitoring programs (PDMPs) reduce demand for substance use disorder (SUD) treatment among the general population, perhaps by minimizing the risk of SUD onset through limiting access to prescribed opioids. Little is known about PDMP effects on SUD treatment among people who inject drugs (PWID), a population at high overdose risk. MethodsUsing four waves (2012, 2015, 2018, and 2022) of National HIV Behavioral Surveillance (NHBS), we conducted two-way fixed-effect modelling of associations of state-level "mandated review" PDMP policies and individual-level (1) SUD treatment utilization, and (2) unmet demand for SUD treatment among 24,518 PWID in 13 states. We tested effect modification by race/ethnicity. ResultsPDMPs were associated with an 8 percentage-point increase in the probability of unmet demand for SUD treatment in the sample as a whole (95% CI: 3.0, 12.0). PDMP implementation was also associated with an increased Black, Indigenous, Latinx, and other people of color (BILPOC) vs. White gap in the probability of unmet demand, from a 3.0 percentage-point gap in non-PDMP states (95% CI: 1.0, 5.0) to a 9 percentage-point gap in PDMP states (95% CI: 7.0, 11.0). ConclusionsPDMPs may increase racial/ethnic inequities in SUD treatment access. To strengthen PDMP effectiveness, supply reduction policies must be accompanied by enhanced access to SUD treatment and other services for PWID, particularly among BILPOC PWID.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Associations between ZIP code-level alcohol outlet density and binge drinking among people who inject drugs in 22 US Metropolitan Areas 96%
- Changes in injecting versus smoking heroin, fentanyl, and methamphetamine among people who inject drugs in San Diego, California, 2020 to 2023 95%
- Trends in homelessness and injection practices among young urban and suburban people who inject drugs: 1997-2017 94%
Similar papers in this journal
- Social-spatial network structures among young urban and suburban persons who inject drugs in a large metropolitan area 93%
- There Goes the Neighborhood? The Public Safety Enhancing Effects of a Mobile Harm Reduction Intervention 93%
- Diagnosis and treatment of opioid-related disorders in a South African private sector medical insurance scheme: a cohort study 93%
Similar papers in this journal
- A meta-analysis of 20 years of data on people who inject drugs in metropolitan Chicago to inform computational modeling 94%
- A study of psychological pain in substance use disorder and its relationship to treatment outcome 93%
- Estimating The Uncertain Effect of the COVID Pandemic on Drug Overdoses 92%
Similar papers in this journal
- “ A Man Never Cries ”: A Mixed-Methods Analysis of Gender Differences in Depression and Alcohol Use in Moshi, Tanzania 91%
- A Mixed-Methods Comparison of Gender Differences in Alcohol Consumption and Drinking Characteristics among Patients in Moshi, Tanzania 90%
- Alcohol Use among Emergency Medicine Department Patients in Tanzania: A Comparative Analysis of Injury Versus Non-Injury Patients 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.