AI-Powered personalized care could transform opioid addiction treatment

NCT ID NCT07011758

Not yet recruiting Disease control Sponsor: Brigham and Women's Hospital Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study aims to create personalized treatment plans for people with opioid use disorder by using machine learning to find the best sequence of medications and behavioral therapy. Researchers will test these plans in a small pilot study with 75 adults to see if they are feasible and acceptable in real-world clinics. The goal is to reduce overdose risk and improve recovery outcomes.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: medication for opioid use disorder and psychotherapy
What this could lead to: If successful, this could lead to more effective, personalized treatment plans for opioid use disorder that reduce overdose risk and improve recovery.
What could go wrong: This is a small, early-stage feasibility trial with only 75 participants, so results may not apply broadly. The exact treatments are not yet finalized, and the study is not yet recruiting.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

opiate dependence

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

OPIOID-USE DISORDER

Contacts and locations

Locations

Discovery Behavioral Health

Irvine, California, 92612, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.