Home › Alcohol Use Disorder (AUD) › NCT07573540
Optimizing Smart Technology for Addiction Recovery
Optimizing Algorithmic Feedback About Lapse Risk for Trust, Engagement, and Clinical Outcomes for Alcohol Use Disorder
Who can join
Ages 18 and older · All sexes
Full eligibility criteria
Inclusion Criteria: * 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 Criteria: * medical or psychiatric co-morbidities that preclude use of a smartphone
About the study
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 system
What is being tested
- STAR (device)
Sponsor: University of Wisconsin, Madison · Participants: 416 · Started: Sep 24, 2025
Contact the study team
- Susan Wanta · Phone: 608-262-0387
- Thea Blum · Phone: 608-262-1362
Official record on ClinicalTrials.gov — NCT07573540
Locations in the U.S.
| Wisconsin | University of Wisconsin, Madison |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.