Optimizing Smart Messaging for Alcohol Recovery
Official title: Optimizing Algorithmic Feedback About Lapse Risk for Trust, Engagement, and Clinical Outcomes for Alcohol Use Disorder
Run by University of Wisconsin, Madison · NCT07573540 · Data updated 2026-11-12
A smartphone-based program tests whether tailored recovery messages can help people with alcohol use disorder stay engaged with support resources and improve health outcomes.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 416 (estimated) |
| Sponsor | University of Wisconsin, Madison Academic / other |
| Locations | 1 site (Madison, Wisconsin) |
| Status | Recruiting |
| Started | September 24, 2025 |
| Main results expected | January 31, 2029 |
| Study ends | July 31, 2029 |
| Registry record updated | June 25, 2026 |
| Trial ID | NCT07573540 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults with alcohol use disorder of at least moderate severity who are in early remission and own a smartphone with a compatible plan.
✕Probably not a fit
Individuals without smartphone access, non-English readers, or those with medical or psychiatric conditions that preclude smartphone use may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This interventional study uses a machine-learning guided messaging system integrated with a digital recovery-support platform to determine which messages best promote engagement with recovery resources and influence clinical outcomes in adults with alcohol use disorder. Participants will complete surveys and use the digital therapeutic app as messages are delivered and refined. The goal is to optimize messaging components that can be applied in digital recovery tools to support individuals in early remission and measure potential effects on health-related outcomes. The study is sponsored by the University of Wisconsin–Madison with collaboration from NIAAA and is conducted at UW–Madison; eligibility requires DSM-5 criteria for AUD, recent alcohol abstinence, English literacy, and smartphone access.
Why it matters
Potential benefit: If successful, the messaging system could improve engagement with recovery resources and support better clinical outcomes for people with AUD.
How similar studies have gone: Previous work in digital health has shown promise for message-driven engagement, but this specific machine-learning guided recovery messaging approach is novel in AUD treatment.
Who can join: the full rules
Show full inclusion / exclusion 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
Where it's running
-
University of Wisconsin
Madison, Wisconsin, United States Recruiting
Study contacts
- Principal investigator: John Curtin, PhD — University of Wisconsin, Madison
- Study coordinator: Susan Wanta
- Email: schneck2@wisc.edu
- Phone: 608-262-0387
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.