Dynamic Treatment Regimes for Opioid Use Disorder
NCT07011758 · Status: NOT_YET_RECRUITING · Phase: PHASE2 · Type: INTERVENTIONAL · Enrollment: 75
Last updated 2025-11-04
Summary
This study aims to develop and evaluate dynamic treatment regimes (DTRs) to improve personalized care for individuals with opioid use disorder (OUD). Using machine learning methods and longitudinal data from a national behavioral health provider, the investigators will identify optimal treatment sequences that minimize the risk of overdose and improve recovery outcomes. A pilot hybrid factorial SMART trial will be conducted to assess the feasibility and acceptability of implementing these personalized treatment decision rules in real-world clinical settings.
Conditions
Interventions
- DRUG
-
Medication for opioid use disorder
A medication treatment component delivered in Week 1 as part of a 2×2 factorial SMART design. The exact content (e.g., treatment modality or intensity) will be finalized based on model results from Aim 1, which identifies optimal dynamic treatment regimes.
- BEHAVIORAL
-
psychotherapy
A behavioral treatment component delivered in Week 1 as part of a 2×2 factorial SMART design. The exact content (e.g., treatment modality or intensity) will be finalized based on model results from Aim 1, which identifies optimal dynamic treatment regimes.
Sponsors & Collaborators
-
National Institute on Drug Abuse (NIDA)
collaborator NIH -
Brigham and Women's Hospital
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SEQUENTIAL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2028-07-01
- Primary Completion
- 2029-06-01
- Completion
- 2030-06-01
- FDA Drug
- Yes
Countries
- United States
Study Locations
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