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Record W2090966381 · doi:10.1080/08897077.2014.907860

Individuals Receiving Specialized Treatment for Drug and Alcohol Dependence and Gambling Disorder in Israel—Characteristics and Implications for Prevalence Estimates

2014· article· en· W2090966381 on OpenAlexaff
Shaul Lev‐Ran, Iris Florentin, Daniel L. Feingold, Jürgen Rehm

Bibliographic record

VenueSubstance Abuse · 2014
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychiatrySubstance dependenceAlcohol dependenceAddictionSocioeconomic statusComorbiditySubstance abuseMedicinePublic healthAlcohol use disorderDemographyPsychologyEnvironmental healthPopulationAlcohol

Abstract

fetched live from OpenAlex

BACKGROUND: Substance dependence is one of the main factors contributing to morbidity and mortality worldwide. Gambling disorder has recently been included as an addictive disorder in DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, 5th edition) and is associated with substantial psychiatric comorbidity and respective disability. Nevertheless, the vast majority of those suffering from these disorders do not receive treatment. In Israel, prevalence of substance dependence has traditionally been estimated to be lower than those in high-income countries, though prevalence estimates from the recent decade are lacking. Moreover, characteristics of individuals seeking treatment for substance dependence and gambling disorder have not been published. METHODS: In this study, the authors analyzed data from the Israel National Addiction Registry, a computerized database that includes sociodemographic characteristics of all individuals treated in specialized public facilities for substance dependence and gambling disorders in the years 2003-2012. RESULTS: The prevalence of treatment utilization for drug and alcohol dependence and gambling disorders were 0.2%, 0.1%, and 0.01%, respectively. These rates generally remained stable throughout the last decade. Individuals seeking treatment for alcohol dependence were in the lower socioeconomic status (SES) cluster, whereas those seeking treatment for drug dependence were in the midrange SES clusters, findings that are generally in concurrence with characteristics of treatment seekers in high-income countries. CONCLUSIONS: Prevalence estimates based on reports indicating that approximately 10% of individuals with substance dependence seek treatment suggest rates of alcohol dependence in Israel that are substantially higher those previously published, though still lower than most high-income countries. Nationwide epidemiologic studies exploring current rates of substance dependence and gambling disorder in Israel are urgently needed, and treatment options should be planned and funded accordingly. Potential reasons for these apparent low rates of treatment utilization for these disorders in Israel should be explored in order to improve services provided for this population.

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 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 score0.022
Threshold uncertainty score0.772

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 head0.093
GPT teacher head0.398
Teacher spread0.305 · 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 teacher head, 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

Citations10
Published2014
Admission routes1
Has abstractyes

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