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Chronic Pain and Marijuana Use among a Nationally Representative Sample of Adults

2011· article· en· W1930246427 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal on Addictions · 2011
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Regina
FundersNational Institute on Drug AbuseNational Institute of Mental Health
KeywordsChronic painMedicinePsychiatryCoping (psychology)Clinical psychologyDepression (economics)

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.296
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it