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Perceived helpfulness of treatment for alcohol use disorders: Findings from the World Mental Health Surveys
Louisa Degenhardt, Chrianna Bharat, Wai Tat Chiu, Meredith Harris, Alan E. Kazdin, Daniel Vigo, Nancy A. Sampson, Jordi Alonso, Laura Helena Andrade, Ronny Bruffaerts, Brendan Bunting, Graça Cardoso, Giovanni de Girolamo, Silvia Florescu, Oye Gureje, Josep María Haro, Chiyi Hu, Aimée Karam, Elie G. Karam, Viviane Kovess–Masféty, Sing Lee, Victor Makanjuola, John J. McGrath, María Elena Medina‐Mora, Jacek Moskalewicz, Fernando Navarro‐Mateu, José Posada‐Villa, Charlene Rapsey, Juan Carlos Stagnaro, Hisateru Tachimori, Margreet ten Have, Yolanda Torres, David R. Williams, Zahari Zarkov, Ronald C. Kessler, Mohammed Salih Al-Kaisy, Yasmin Altwaijri, Lukoye Atwoli, Corina Benjet, Guilherme Borges, Evelyn J. Bromet, José Miguel Caldas‐de‐Almeida, Somnath Chatterji, Koen Demyttenaere, Hristo Hinkov, Peter de Jonge, Georges Karam, Norito Kawakami, Andrzej Kiejna, Jean‐Pierre Lépine, María Elena Medina-Mora, Zeina Mneimneh, Marina Piazza, José Posada-Villa, Kate M. Scott, Tim Slade, Dan J. Stein, María Carmen Viana, Harvey Whiteford, Bogdan Wojtyniak
Bibliographic record
VenueDrug and Alcohol Dependence · 2021
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of British Columbia Hospital
FundersNational Institute of Mental HealthConsejería de Sanidad y Política Social, Comunidad Autónoma de la Región de MurciaEEA GrantsPfizerFundação para a Ciência e a TecnologiaExecutive Agency for Health and ConsumersPan American Health OrganizationJohn W. Alden TrustSubstance Abuse and Mental Health Services AdministrationUniversity of New South WalesHealth Research Council of New ZealandServierMinisterstwo ZdrowiaMinisterio de SaludEEA Grants/Norway GrantsMinisterio de Ciencia y TecnologíaDepartament d'Innovació, Universitats i Empresa, Generalitat de CatalunyaRegione PiemonteMinistry of Health, Labour and WelfareFundação ChampalimaudFundación para la Formación e Investigación Sanitarias de la Región de MurciaInstituto Nacional de Psiquiatría Ramón de la Fuente MuñizNSW Ministry of HealthDepartment of Health and Aged Care, Australian GovernmentNational Insurance Institute of IsraelConsejo Nacional de Ciencia y TecnologíaGeneralitat de CatalunyaNational Health and Medical Research CouncilInstituto de Salud Carlos IIIPfizer FoundationEuropean CommissionAstraZenecaFundação de Amparo à Pesquisa do Estado de São PauloH. Lundbeck A/SDepartment of Health and Ageing, Australian GovernmentDepartament de Salut, Generalitat de CatalunyaUniversity of MichiganMinisterio de Sanidad, Consumo y Bienestar SocialMinistry of Health, New ZealandWorld Health OrganizationPublic Health AgencyConselho Nacional de Desenvolvimento Científico e TecnológicoServicio Murciano de SaludGlaxoSmithKlineMinisterio de Salud de la NaciónBristol-Myers SquibbU.S. Public Health ServiceMinistry of Public HealthNational Institute on Drug AbuseNational Drug and Alcohol Research CentreJohn D. and Catherine T. MacArthur FoundationEli Lilly and CompanyFogarty International CenterNational Institutes of HealthRobert Wood Johnson Foundation
KeywordsHelpfulnessMental healthPsychiatryPsychologyAddictionClinical psychologyMedicineSocial psychology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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 score0.225
Threshold uncertainty score0.994
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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.
Opus teacher head0.079
GPT teacher head0.383
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation status
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 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
Citations6
Published2021
Admission routes1
Has abstractno