AI and gut bacteria may predict who gets hooked on opioids
NCT ID NCT06540105
First seen Jun 27, 2026 · Last updated Jul 08, 2026 · Updated 2 times
Summary
This study aims to validate two new tools that use artificial intelligence to predict a person's risk of developing opioid use disorder. One tool looks at genetic markers, and the other examines gut bacteria. Researchers will enroll 300 adults with or without opioid addiction to see how well these tools work.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a simple test to identify people at high risk for opioid addiction before it starts.
- What could go wrong
- This is an early validation study, not a treatment trial. The predictive models may not work well in real-world settings or for all populations.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University of California, San Diego
La Jolla, California, 92037, United States
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