Tracking Why People Use Cannabis Day by Day Could Power Personalized Interventions
Daily cannabis use motives shift over time — particularly toward sleep and availability reasons — and these transitions predict higher subsequent use, suggesting adaptive interventions could target critical moments.
Quick Facts
What This Study Found
Four types of weekly motive transitions were identified, with shifts toward sleep-aid and cannabis-availability-dominated motives predicting higher subsequent use frequency. Open-ended data revealed cannabis use for managing sleep disturbances, daily stressor-triggered anxiety, and recovery from medical treatments like chemotherapy.
Key Numbers
48 participants over 28 days. Four types of weekly motive transitions identified. Sleep aid and availability motives most associated with increased use frequency. Participants aged 22-76, mean 48.8 years.
How They Did This
28-day daily web survey of 48 participants (aged 22-76, 64% female, 22% African American) with baseline and follow-up mental health assessments. Latent transition analysis with random intercepts (RI-LTA) modeled weekly motive class transitions.
Why This Research Matters
Static assessments miss the dynamic nature of cannabis use motives. Real-time monitoring of motive shifts could enable just-in-time interventions — sending support when a person transitions toward higher-risk patterns.
The Bigger Picture
This pilot demonstrates the feasibility of a paradigm shift in cannabis intervention: from periodic clinic-based assessment to continuous real-time monitoring that can trigger adaptive support exactly when patterns start shifting toward problematic use.
What This Study Doesn't Tell Us
Very small pilot sample (n=48). Convenience sample may not be representative. 28-day period may be too short to capture all motive transition patterns. Daily surveys may themselves influence behavior (reactivity).
Questions This Raises
- ?What specific interventions should be triggered by motive transitions?
- ?Would app-based real-time monitoring be acceptable to cannabis users?
- ?Could machine learning predict harmful transitions before they happen?
Trust & Context
- Key Stat:
- Evidence Grade:
- Innovative methodology demonstrating proof-of-concept, but very small sample limits statistical conclusions.
- Study Age:
- Published 2026, piloting adaptive intervention methodology for cannabis use.
- Original Title:
- Daily web survey data collection of time-varying cannabis use motives and contexts, with implications for adaptive interventions: A pilot study.
- Published In:
- Drug and alcohol dependence, 278, 112974 (2026)
- Authors:
- Ma, Yongchao(2), West, Brady T(2), McCabe, Sean Esteban(3)
- Database ID:
- RTHC-08450
Evidence Hierarchy
Frequently Asked Questions
Why do reasons for cannabis use change day to day?
People's motivations for using cannabis shift in response to daily life — stress, sleep problems, social situations, and availability all fluctuate. This study found that when motivations shift toward using for sleep or because cannabis is available, people tend to use more.
Could an app help people manage cannabis use?
This study suggests yes — by tracking daily motivations and detecting shifts toward higher-risk patterns (like increasing use for sleep), an app could deliver targeted support at exactly the right moment, before use becomes problematic.
Read More on RethinkTHC
Cite This Study
https://rethinkthc.com/research/RTHC-08450APA
Ma, Yongchao; West, Brady T; McCabe, Sean Esteban. (2026). Daily web survey data collection of time-varying cannabis use motives and contexts, with implications for adaptive interventions: A pilot study.. Drug and alcohol dependence, 278, 112974. https://doi.org/10.1016/j.drugalcdep.2025.112974
MLA
Ma, Yongchao, et al. "Daily web survey data collection of time-varying cannabis use motives and contexts, with implications for adaptive interventions: A pilot study.." Drug and alcohol dependence, 2026. https://doi.org/10.1016/j.drugalcdep.2025.112974
RethinkTHC
RethinkTHC Research Database. "Daily web survey data collection of time-varying cannabis us..." RTHC-08450. Retrieved from https://rethinkthc.com/research/ma-2026-daily-web-survey-data
Access the Original Study
Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.