SMART-r: Understanding Substance Use Through Data
This study, called SMART-r, is collecting information to better understand why people drop out of substance use treatment and return to using alcohol or other drugs. Researchers want to gather survey data and information from your smartphone to learn more about behaviors and risk factors related to substance use. This information will help them develop better ways to prevent substance use and help people in recovery. You can join if you are an adult (18 or older), have used alcohol or other drugs in the past 30 days, and have a smartphone. The study aims to collect data over 20 years to build a large resource for future research.
- Study design
- This is an observational study aiming to enroll 10,000 participants. It is not testing a specific drug or intervention.
- What's involved
- You will need to understand and complete an online informed consent process. The study involves gathering survey and smartphone data.
- Compensation
- Not stated in the trial record.
- Follow-up
- Data will be collected for 20 years to build the repository.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
SMART-r: Substance Monitoring and Active Relapse Tracking Repository
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Brenda L Curtis, Ph.D. · PRINCIPAL_INVESTIGATOR · National Institute on Drug Abuse (NIDA)
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- SMARTr data repository20 years
The primary objective is to establish the NIDA-IRP Technology and Translational Research Unit (TTRU) Substance Monitoring and Active Relapse Tracking Repository (SMART-r) for collection, storage, and analysis of the human data from individuals who use substances.