October 13, 2025

Cannabis use measurement: Identifying the optimal metric for broad research applications.

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Observational analysis compares cannabis use metrics with biomarkers in 1090 users, suggesting CQFS may provide better predictions.

CQFS outperformed TLFB models in predicting THC-COOH levels, indicating more accurate measurement of cannabis use.
Increased CQFS total times per day correlated with higher THC-COOH in users, showing its potential as an effective metric.
TLFB was more effective for measuring acute cannabis use but less predictive of overall consumption than CQFS.
Mixed effects models demonstrated distinct associations with biomarkers and were influenced by sex and age, suggesting nuanced measurement needs.

Skrzynski et al. (2025) studied this question.

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