Predicting Disclosure Among People With Opioid Use Disorder: A Machine Learning Approach

Mohammad Mousavi, Ethel Virginia Sticinski, Elizabeth Carly Hill, Natalie M. Brousseau, Jessica Hulsey, Lynn M. Morrison, John F. Kelly, Annie B. Fox, Valerie A. Earnshaw, Department of Human Development and Family Sciences, University of Delaware, Rutgers University, Graduate School of Applied and Professional Psychology, Addiction Policy Forum, Brandywine Counseling and Community Services, Recovery Research Institute, Massachusetts General Hospital and Harvard Medical School, School of Healthcare Leadership, MGH Institute of Health Professions

Journal of Drug Issues

Published online on August 26, 2025

Abstract

Journal of Drug Issues, Ahead of Print.
Disclosure can be an important step in treatment and recovery for people with opioid use disorder. In this longitudinal study, we used a Machine Learning-based Lasso logistic regression model to develop an accurate prediction model for disclosure among ...