Cannabis Advertising Policies in the United States: State-Level Variation and Comparison with Canada
Bibliographic record
Abstract
Objective: To assess the regulations on Cannabis advertising across U.S. states for variation and compare with Canadian federal policies, for the purpose of identifying opportunities to protect the public, especially the youth and other vulnerable populations, from health risks. Methods: We reviewed Health Canada's Cannabis Act and Cannabis Regulations to identify prohibited marketing and advertising activities for cannabis products. The Canadian guidelines (where cannabis is legal for both medical and nonmedical use) were compared with regulations in the 36 U.S. states where cannabis is legalized for medical and/or adult (e.g., recreational) use. Results: Cannabis advertising regulations vary greatly and have little consistency across the U.S. states. Most states do not address many of the cannabis advertising activities that are prohibited in Canada. Among the 31 states that do allow some form of cannabis advertising, 74% explicitly prohibit targeting or appealing to minors and 68% prohibit making false or misleading claims. There are 11 illegal advertising tactics in Canada, such as glamorization and testimonials, that were not specifically discussed in any of the U.S. state policies. Conclusion: The lack of consistent marketing guidelines could expose youth and vulnerable populations to cannabis advertisements; more widespread or federal guidance is needed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".