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Record W4409076050 · doi:10.1177/14550725251325970

A clarion call to the addiction science community: It's time to resist the anti-scientific policies of the US Trump administration

2025· editorial· en· W4409076050 on OpenAlexaff
Thomas F. Babor, Bryon Adinoff, Luke Clark, David Crockford, Zsolt Demetrovics, Paul Dietze, Jean‐Sébastien Fallu, Sally Gainsbury, Gail Gilchrist, David A. Gorelick, Kathryn Graham, Derek Heim, Matilda Hellman, Anne‐Marie Laslett, Caravella McCuistian, Michal Miovský, Neo K. Morojele, Jacek Moskalewicz, Isidore Obot, Richard Pates, Robin Room, Marta Rychert, Aysel Sultan, Carla Treloar, Nigel E. Turner, Samantha Wells, Emily C. Williams, Katie Witkiewitz, Jason Grebely

Bibliographic record

VenueNordic Studies on Alcohol and Drugs · 2025
Typeeditorial
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental HealthUniversité de MontréalMental Health Research CanadaUniversity of CalgaryPublic Health OntarioUniversity of British Columbia
Fundersnot available
KeywordsCLARIONAddictionAdministration (probate law)Political sciencePsychologySociologyPsychiatryLaw

Abstract

fetched live from OpenAlex

This editorial is written by a group of 28 present and former editors of peer reviewed scientific journals specializing in the publication of addiction research. The authors have signed this editorial as individuals, not as representatives of any organization. Institutional affiliations are listed to demonstrate the authors' academic credentials. Also published in: Babor, T. F., Adinoff, B., Clark, L., Crockford, D., Demetrovics, Z., Dietze, P., Fallu, J., Gainsbury, S., Gilchrist, G., Gorelick, D. A., Graham, K., Grebely, J., Heim, D., Hellman, M., Laslett, A., McCuistian, C., Miovsky, M., Morojele, N. K., Moskalewicz, J., Obot, I. S., Pates, R., Room, R., Rychert, M., Sultan, A., Treloar, C., Turner, N. E., Wells, S., Williams, E. C., & Witkiewitz, K. (2025). A clarion call to the addiction science community: It's time to resist the anti-scientific policies of the US Trump administration. Journal of Behavioral Addictions, 14(2), 567-570. https://doi.org/10.1556/2006.2025.00033 Babor, T., Adinoff, B., Clark, L., Crockford, D., Demetrovics, Z., Dietze, P., Fallu, J., Gainsbury, S., Gilchrist, G., Gorelick, D., Graham, K., Grebely, J., Heim, D., Hellman, M., Laslett, A., McCuistian, C., Miovsky, M., Morojele, N., Moskalewicz, J., Obot, I., Pates, R., Room, R., Rychert, M., Sultan, A., Treloar, C., Turner, N., Wells, S., Williams, E., and Witkiewitz, K. (2024). A clarion call to the addiction science community: It’s time to resist the anti-scientific policies of the US Trump administration. Alcoholism and Drug Addiction/Alkoholizm i Narkomania, 37(3), pp.133-140. https://doi.org/10.5114/ain.2024.149923 Babor, T. F., Adinoff, B., Clark, L., Crockford, D., Demetrovics, Z., Dietze, P., … Witkiewitz, K. (2025). A clarion call to the addiction science community: it’s time to resist the anti-scientific policies of the US Trump administration. The American Journal of Drug and Alcohol Abuse, 51(5), 535–538. https://doi.org/10.1080/00952990.2025.2555137

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)0.044
metaresearch head score (Gemma)0.135
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.135
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.002
Science and technology studies0.0090.011
Scholarly communication0.0220.019
Open science0.0050.007
Research integrity0.0510.063
Insufficient payload (model declined to judge)0.0300.030

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 head0.050
GPT teacher head0.379
Teacher spread0.329 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations8
Published2025
Admission routes1
Has abstractyes

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