MétaCan
Menu
Back to cohort

Use of Alcohol and Drugs to Self-Medicate Anxiety Disorders in a Nationally Representative Sample

2006· article· en· W1984139938 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

VenueThe Journal of Nervous and Mental Disease · 2006
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAnxietySample (material)Self-medicationClinical psychologyPsychiatryPsychologyMedicineChemistry

Abstract

fetched live from OpenAlex

This study examined the prevalence and correlates of self-medication of anxiety disorders with alcohol and drugs in a nationally representative sample (N = 5877). A modified version of the Composite International Diagnostic Interview was used to make DSM-III-R mental disorder diagnoses. Frequencies of self-medication ranged from 7.9% (social phobia, speaking subtype) to 35.6% (generalized anxiety disorder). Among respondents with an anxiety disorder, self-medication was significantly associated with an increased likelihood of comorbid mood disorders, substance use disorders, distress, suicidal ideation, and suicide attempts. Self-medication behavior remained significantly associated with an increased likelihood of suicidal ideation (adjusted odds ratio = 1.66; 1.17-2.36) as well as suicide attempts (adjusted odds ratio = 2.23; 1.50-3.31), even after adjusting for a number of sociodemographic and psychiatric variables. These results suggest that individuals with anxiety disorders who self-medicate their symptoms with alcohol or drugs may be at increased risk for mood and substance use disorders and suicidal behavior.

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)0.000
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 score0.121
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

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

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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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