An Urgent Call for Studies That Address the Cardiovascular Consequences of Legalization of Marijuana
Bibliographic record
Abstract
In about a decade, half of the United States has legalized marijuana for recreational use. The drug has been associated with acute myocardial infarction, acute stroke, congestive heart failure, and various cardiac arrythmias. Data have shown that legalization of the drug led to an increase of its use as well as an increase in tetra hydro cannabinoid positive tests in patients admitted to emergency departments. In Colorado, one of the earlier states to implement legalization, there was an increase in traffic accidents, suicide rates, and even total mortality. However, there is a paucity of data on the effect of marijuana legalization on various cardiovascular events. It is prudent to have well-designed studies with enough power to provide consumers and health care providers the information they need to decide whether the risks of marijuana, especially on the cardiovascular front, are worth the "high" or potential benefits that have been described for other medical conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.092 | 0.159 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.015 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.027 | 0.029 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".