Chronic Pain and Marijuana Use among a Nationally Representative Sample of Adults
Bibliographic record
Abstract
This study sought to examine the relations between chronic pain and marijuana use in a large nationally representative survey of adults (n = 5,672; 53% female; M(age) = 45.05, SD = 17.9) conducted in the United States. After controlling for sociodemographic variables, lifetime history of depression, and alcohol abuse/dependence, there was a significant association between lifetime chronic pain and lifetime and current marijuana use. Moreover, current chronic pain was significantly associated with lifetime marijuana use. There was no significant association between current chronic pain and current marijuana use, possibly owing to limited statistical power. Results suggest that there are generally consistent statistically significant relations between chronic pain and marijuana use. Future work is needed to explicate the developmental patterning between chronic pain and marijuana use. This paper presents the potential linkage between chronic pain and marijuana use. Results from this study suggest that it may be beneficial for clinicians to assess for marijuana use among patients suffering from chronic pain. Such patients may be using marijuana as a maladaptive coping strategy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".