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Record W3196156655 · doi:10.1002/jcph.1937

The Epidemiology of Drug Abuse

2021· review· en· W3196156655 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 Clinical Pharmacology · 2021
Typereview
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsBC Children's HospitalVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsEpidemiologyPsychosocialRecreational DrugPandemicPsychiatryPsychological interventionMedicineAddictionSubstance abuseDrugRecreationSubstance useDiseasePsychologyCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Political science

Abstract

fetched live from OpenAlex

Many Americans use alcohol and recreational drugs. Some will develop substance use disorders that affect a person's brain and behavior, leading to continued use despite problems caused. We review the epidemiology of addiction in the United States, including changes in use patterns over time, highlighting rates in adolescents and young adults, as well as adults. An overview of the health and societal impacts of substance use is provided alongside the importance of multimodal, evidence-based treatment comprising psychosocial interventions and medication management. The article concludes by exploring the impact of the coronavirus disease 2019 pandemic on people who use drugs and their access to treatment.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.844
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.301
GPT teacher head0.570
Teacher spread0.269 · 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