Artificial intelligence for alcohol, opioid, and cannabis use disorders screening and management: a narrative review of barriers and facilitators to clinical implementation

Isaac Frimpong, Benedictus Atsu Hlormenu

Substance use disorder (SUD) remains one of the most prevalent and undertreated conditions in medicine. Machine learning and artificial intelligence (AI) have produced numerous predictive models for SUD risk stratification, screening, and management, but few have progressed beyond development and validation into sustained clinical implementation. This review focuses on alcohol, opioid, and cannabis use disorders,…

Editorial: Using digital solutions for Brief Interventions in Alcohol, Tobacco, other drug use, and gambling: From the present to the future.

Hugo López-Pelayo, Elsa Caballeria, Antoni Gual, Silvia Matrai, Michael P. Schaub