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Record W1928444070 · doi:10.7202/1027832ar

Existe-t-il des différences entre les hommes et les femmes en ce qui concerne les problèmes de toxicomanie ?

2014· article· fr· W1928444070 on OpenAlexaffvenue
Adrianna Mendrek

Bibliographic record

VenueSanté mentale au Québec · 2014
Typearticle
Languagefr
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversité de MontréalInstitut universitaire en santé mentale de MontréalInstitut Universitaire en Santé Mentale de QuébecBishop's University
Fundersnot available
KeywordsHumanitiesArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Drug use and drug addiction have been traditionally considered to be a male problem, however the gender gap has been decreasing over the past few decades. Thus, while the prevalence of alcohol, cannabis and nicotine dependence is still overall greater among men than among women, sex/gender differences in the abuse of stimulants and opiates seem to have disappeared. Moreover, women appear to be more prone to develop drug dependence, suffer more severe physical and psychological consequences of drug abuse, and have more difficulties quitting the habit. Numerous psychological, socio-cultural and biological factors have been implicated in these changing statistics. For example, while a large proportion of men initiate drug use to induce feelings of elation, energy or focus, women frequently start taking drugs to alleviate pre-existing mental health problems, including high levels of stress, feelings of alienation, depression, anxiety, or post-traumatic stress disorder. This maladaptive self-medication strategy often results in a faster transition to a habitual drug use and eventually a more severe dependence. In addition, the socio-cultural norms (particularly in the Western society) have changed dramatically over the past few decades. Thus, while there is still a more severe stigma and prejudice against women who use drugs (especially if they are pregnant of have children), overall there is much greater acceptance of women's drug use than it was several decades ago. Moreover, women have much greater access to various drugs of abuse than they used to have. Finally, over the past couple of decades new research started emerging pointing to some neurobiological factors that could also contribute to sex differences in drug addiction. Thus, there is now evidence that dopamine system, which for decades has been strongly implicated in drug reinforcement, is sexually dimorphic. The number of dopaminergic neurons, the density of the dopaminergic terminals, as well as responsiveness of the dopaminergic system to drugs of abuse, has been shown to differ between males and females and it has been shown to be modulated by sex steroid hormones, especially estrogen. For example, female rats exhibit greater motivation to self-administer cocaine than male rats and their motivation is the highest during elevated levels of estrogen. All these psychological, socio-cultural and biological factors that contribute to sex/gender difference in drug use and drug dependence, should be considered while evaluating and treating individuals with drug addiction problem.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.035
GPT teacher head0.306
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2014
Admission routes2
Has abstractyes

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