Mutual Help Group Participation for Alcohol and Drug Problems: Uncovering Latent Subgroups

Abstract

Objective: This report aims to identify US mutual help group (MHG) participants’ psycho-socio-behavioral profiles. Method: We used data from the 2015–2018 National Survey on Drug Use and Health and the sample included 1022 adults with past-year substance use disorders (SUD). We conducted a latent class analysis to identify subgroups of MHG participants and estimated multinomial logistic regression models to examine the associations between sociodemographic/intrapersonal characteristics and class membership. Results: Analyses identified three latent classes. Class 1 (Low-Risk group, 54%) reported low risks in all correlates except for serious psychological distress (SPD, 33%). Class 2 (Psychological Distress group, 30%) demonstrated high risks of major depressive episodes (86%) and SPD (93%). Class 3 (Criminal Justice System Involvement group, 16%) showed high involvement in arrests (100%) and drug-related arrests (67%) and moderate risks for SPD (54%) and behavioral problems, e.g., drug selling (46%) and theft (35%). Compared to Class 1, Class 2 was more likely to be female, out of the labor force, and to show high risk propensity, and Class 3 was more likely to have lower education and drug use disorders. Class 3 was also less likely to be older, belong to the “other” racial/ethnic category, have lower English proficiency, and report alcohol use disorder. Conclusions: The three subgroups of the US MHG participant population illustrate the complex and heterogeneous psycho-social-behavioral profiles of MHG participants with SUD. MHG referral’s effectiveness may be augmented by tailoring it to the patient/client’s specific psycho-socio-behavioral profile.

Keywords:

• Mutual help group
• substance use disorder
• latent class analysis
• psycho-socio-behavioral profiles
• referral

Disclosure statement

The authors report there are no competing interests to declare.

Funding

The author(s) reported there is no funding associated with the work featured in this article.