Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings.

ABSTRACT:

Background

Given possible impairment in psychomotor functioning related to acute cannabis intoxication, we explored whether smartphone-based sensors (e.g., accelerometer) can detect self-reported episodes of acute cannabis intoxication (subjective "high" state) in the natural environment.

Methods

Young adults (ages 18-25) in Pittsburgh, PA, who reported cannabis use at least twice per week, completed up to 30 days of daily data collection: phone surveys (3 times/day), self-initiated reports of cannabis use (start/stop time, subjective cannabis intoxication rating: 0-10, 10 = very high), and continuous phone sensor data. We tested multiple models with Light Gradient Boosting Machine (LGBM) in distinguishing "not intoxicated" (rating = 0) vs subjective cannabis "low-intoxicati

SUBMITTER: Bae SW 

PROVIDER: S-EPMC8595824 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature