MiREA-AC for Reducing Problematic Alcohol and Marijuana Use in College Students
mHealth Systems Inc. · with Boston Children's Hospital, University of North Carolina, Charlotte · NCT07339150
Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.
Key facts
- Compensation
- Not posted. Ask the study team before screening.
- Who can join
- Ages 18–26 · All sexes
- Healthy volunteers
- Accepted
- Study type
- Interventional · Not applicable
- Target enrollment
- 150
- US sites recruiting
- 2
- Study start
- August 15, 2025
- Record last updated
- January 14, 2026
Status re-checked against ClinicalTrials.gov within the last 12 hours.
What the study is about
The goal of this STTR Phase I funded study is to address the urgent need for an effective primary prevention approach to the problem of heavy episodic drinking and cannabis misuse among mandated college students. Smartphone app interventions are expanding and can offer accessible, scalable, and cost-effective tools. The study will be used to attune a successful evidence-based mHealth smartphone (SP) application (MiREA-AC) focused on alcohol and Cannabis misuse by college students with enhanced content to promote health-seeking behaviors. To test and disseminate the adapted prototype (MiREA-AC), a multisite pilot trial will be conducted to obtain data on the intervention's usability and feasibility in modifying alcohol and cannabis use.
Being studied: Motivational Intervention Reduction through Ecological Application (MiREA-A). MiREA-AC-- the expanded MiREA-A,
Conditions: Alcohol Misuse; Cannabis Misuse
Eligibility criteria
Copied from the official record. The study team makes the final decision at screening.
Show full criteria
Inclusion Criteria
- College student, alcohol consumption in past 90 days
Exclusion Criteria
- non-college student, no alcohol use in the past 90 days
Recruiting US locations
University of North Carolina, Charlotte
Charlotte, NC 28223
Site contact: Assistant Professor, Dept. of Mathematics and Statistics · (704) 687-1374 · sli23@uncc.edu
University of South Carolina
Columbia, SC 29208
Site contact: Donna M Kazemi, PhD · 803-777-1213 · DKAZEMI@mailbox.sc.edu
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