Medication-assisted therapy (MAT) for opioid use disorders is an effective treatment strategy. Racial/ethnic and gender disparities in MAT utilization have been documented, but less is known about disparities in MAT outcomes. We used the Treatment Episodes Dataset-Discharges (TEDS-D; 2015- 2017) to identify outpatient treatment episodes with heroin or illicit opioids indicated at admission (n = 232,547). We used multivariate logistic regression to model the association between MAT and a reduction in opioid use between treatment admission and discharge. We explored moderation by race/ethnicity and gender by including an interaction term. We identified a strong moderating effect of race/ethnicity and gender. American Indian/Alaska Native (AI/AN) women demonstrated the strongest association between MAT (versus no MAT) and a reduction in opioid use (aOR = 6.05, 95% CI = 4.81- 7.61), while White men demonstrated the weakest association (aOR = 2.78, CI = 2.70- 2.87). Our findings could inform changes in clinical MAT settings that are based on harm reduction and the incremental transition from illicit opioids to medication-assistance among a diverse opioid use disorder population.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/02791072.2020.1717685 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!