Latent profile analysis identified six cannabis user groups in Washington State, and surprisingly, the highest-frequency concentrate users reported fewer adverse events than the next most frequent group that used a wider variety of products.
Public health professionals, harm reduction advocates, and cannabis consumers interested in how product variety relates to adverse outcomes.
What the researchers found
Six user profiles ranged from weekly flower-only users to daily concentrate users. The four groups with most frequent and varied product use were significantly more likely to self-identify as addicted. The highest-frequency concentrate group reported fewer adverse events than the polymodal group.
Why it matters
This challenges the simple assumption that more use equals more problems. Product variety may matter as much as frequency, suggesting harm reduction messaging should address polymodal use patterns.
The numbers in context
3,298 past-year cannabis users. Six latent profiles identified. Four highest-use groups significantly more likely to self-identify as addicted.
How the study worked
Latent profile analysis of 3,298 past-year cannabis users aged 16-65 in Washington State from the International Cannabis Policy Study (2019-2022).
What this study cannot tell us
Cross-sectional design cannot capture transitions between user profiles. Self-reported adverse events may differ from objectively measured harms. The counterintuitive concentrate finding could reflect survivorship bias.
How to read the evidence
Large sample from a well-established study with appropriate statistical methods, but cross-sectional analysis limits causal interpretation.
When this study was published
2025 publication using 2019-2022 survey data.
The bigger picture
As legal cannabis markets expand product options, understanding how different consumption patterns relate to harm is essential. The complexity of a person's cannabis use repertoire may be a risk factor independent of frequency.
Questions still open
- Does switching between multiple product types create compounding risks?
- Would adverse event patterns hold in a longitudinal design?
Common questions
Why would using more product types be associated with more problems?
Why did the heaviest concentrate users have fewer adverse events?
Read the original research
Cannabis consumption patterns, adverse events, and cannabis risk beliefs: A latent profile analysis in WA State.
Drug and alcohol dependence, 273, 112728
Citation
Garrett, Sharon B; Williams, Jason R; Carlini, Beatriz H; Hammond, David. (2025). Cannabis consumption patterns, adverse events, and cannabis risk beliefs: A latent profile analysis in WA State.. Drug and alcohol dependence, 273, 112728. https://doi.org/10.1016/j.drugalcdep.2025.112728
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