AI and gut bacteria may predict who gets hooked on opioids
NCT ID NCT06540105
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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
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Locations
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University of California, San Diego
La Jolla, California, 92037, United States