2026/06/01 by Malaiikha N. Mccormick-Cisse, Malaiikha McCormick-Cisse, D. Lynn Homish +5
Medicine · #HIV, Drug Use, Sexual Risk #Opioid Use Disorder Treatment #Substance Abuse Treatment and Outcomes
paper · doi:10.1177/00938548261449810
openalex publication_date 2026/06/01 · openalex created_date 2026/06/02 · openalex updated_date 2026/07/25
Drug treatment courts (DTCs) serve diverse populations with substance use and co-occurring mental health conditions. These conditions may impact recovery capital (RC) and quality of life (QoL); however, limited research has examined how patterns of substance use and mental health symptoms influence these outcomes in DTC settings. Two waves of data were used from DTC participants ( N = 165). Latent class analysis (LCA) classified participants based on substance use and mental health symptoms. Four unique classes of DTC participants emerged. These classes were then used to predict RC and QoL. Class membership was able to significantly predict QoL but not RC over time. This study is among the first to use LCA to determine DTC subgroups and predict QoL outcomes. Results further establish the variability of DTC participants’ profiles and emphasize the need for tailored treatment approaches.