Machine Learning Technology in Predicting Relapse and Implementing Peer Recovery Intervention Before Drug Use Occurs (NCT05976672)
The Utilization of Machine Learning Technologies in Predicting Relapse: Identifying Risk Factors and Implementing Intervention Before Drug Use Occurs
๐ฉบ Plain-English Summary (8th-Grade Level)
The goal of this clinical trial is to study the relationship between substance cravings, cognitive performance, behaviors, and physiological markers in individuals with substance use disorder, as well as the effects of peer recovery intervention in response to abnormal biomarker data detected by wearable technology (e.g., Oura ring, smart watch) and participant responses to questionnaires and cognitive tasks completed on the RNI Health application.
Who can join: Review the eligibility criteria below.
Location: West Virginia University Rockefeller Neuroscience Institute โ Morgantown, West Virginia
Age range: 18 Years
๐งช Interventions in This Study
- PRSS (Peer Recovery Support Specialist) (OTHER)
๐ "Do I Qualify?" โ 1-Minute Self Screener
Instant ChecklistFull eligibility criteria are available on the official NIH protocol. View the criteria โ
๐ All Participating Trial Locations (1 Sites)
- West Virginia University Rockefeller Neuroscience Institute โ Morgantown, West Virginia
๐ฐ Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA ยง 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.
Explore by condition: All Substance Abuse Disorder clinical trials
๐ก How to Participate
- Check the checklist above to see if you may qualify.
- Review the official NIH record below to find the coordinating site.
- Ask about the visit schedule, what is covered at no cost, and any travel support.
- Confirm with your own doctor before making a decision.