AI-Powered texts aim to help smokers beat the habit
NCT ID NCT04720625
First seen Jul 31, 2026 · Last updated Jul 31, 2026
Summary
This trial tests a computer program called Adapt2Quit that sends personalized motivational text messages to help smokers quit. The messages are chosen based on how each participant rates them, aiming to be more effective than standard quitline texts. The study involves socioeconomically disadvantaged smokers who are current smokers and have a texting-enabled phone. The main goal is to see if these tailored messages lead to more people quitting smoking, verified by breath tests at six months.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Adapt2Quit, a machine-learning system that sends personalized motivational text messages to help smokers quit
- What this could lead to
- If effective, this approach could offer a low-cost, scalable way to help socioeconomically disadvantaged smokers quit, reducing smoking-related health disparities.
- What could go wrong
- The trial is testing a behavioral intervention, and results may vary. Success depends on engagement and may not generalize to all smokers.
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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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Baystate Health
Springfield, Massachusetts, 01199, United States
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Johns Hopkins University
Baltimore, Maryland, 21287, United States
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University of Massachusetts Medical School
Worcester, Massachusetts, 01655, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Blocking the smell of smoke may curb the urge to light up
- New nicotine pouches put to the test: are they less addictive than cigarettes?
- Thinking about the future might help smokers kick the habit, but study never got off the ground