RecruitingNot ApplicableNCT07573540

Optimizing Smart Technology for Addiction Recovery

Optimizing Algorithmic Feedback About Lapse Risk for Trust, Engagement, and Clinical Outcomes for Alcohol Use Disorder

Sponsor

University of Wisconsin, Madison

Enrollment

416 participants

Start Date

Jun 1, 2026

Study Type

INTERVENTIONAL

Conditions

Alcohol Use Disorder Alcohol Use Disorder (AUD)

Summary

The goal of this study is to develop a machine-learning guided recovery messaging system. The main question it aims to answer is can messages be used to: * help people to improve their health * make changes in people's lives to address alcohol and substance use Participants will: * complete surveys * use a recovery-support digital therapeutic app

Eligibility

Min Age: 18 Years

Inclusion Criteria4

meet criteria for alcohol use disorder with at least moderate severity (>= 4 DSM-5 criteria)
in initial remission with most recent use of alcohol between 1 week and 3 months in the past
able to read English
have a smartphone and cellular plan that supports STAR use (Apple iOS or Android)

Exclusion Criteria1

medical or psychiatric co-morbidities that preclude use of a smartphone

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Interventions

DEVICESTAR

Automated recovery support messaging system for participants with alcohol use disorder (AUD), paired with a machine learning guided relapse risk prediction model.