Optimizing Smart Technology for Addiction Recovery
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-sup
| Condition(s) | Alcohol Use Disorder, Alcohol Use Disorder (AUD) |
|---|---|
| Status | Recruiting |
| Phase | NA |
| Study type | Interventional |
| 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 |
| Who can participate | 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 |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | University of Wisconsin, Madison |
| Locations | Madison, Wisconsin, United States |
| Start date | 2026-06 |
| NCT ID | NCT07573540 |
| Official listing | https://clinicaltrials.gov/study/NCT07573540 |