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Record W4408786136 · doi:10.1186/s13722-025-00552-3

Rethinking trazodone for insomnia in alcohol use disorder

2025· article· en· W4408786136 on OpenAlexafffund
Jeffrey Pan, Jürgen Rehm, Evan Wood

Bibliographic record

VenueAddiction Science & Clinical Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of British ColumbiaCentre for Addiction and Mental HealthPublic Health OntarioUniversity of TorontoBritish Columbia Centre on Substance Use
FundersCanadian Institutes of Health Research
KeywordsTrazodoneAlcohol use disorderPsychiatryInsomniaAlcohol dependencePsychologyPopulationMedicineAlcoholAntidepressantAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: Insomnia is a common condition experienced by many individuals with excessive alcohol use and alcohol use disorder, and the serotonin antagonist and reuptake inhibitor trazodone has emerged as a mainstay of treatment for insomnia in this population. MAIN BODY: However, an underappreciated literature has demonstrated potential for an increase in alcohol use while persons with alcohol use disorder are taking trazodone for sleep challenges. Additionally, multiple trials have identified trazodone's metabolite meta-Chlorophenylpiperazine as a pharmaceutical inducer of increased alcohol craving and use. CONCLUSION: Increased awareness in the potential of worsening drinking behaviour with trazodone accompanied by the preferential use of safer alternative treatment strategies can likely improve outcomes for patients with heavy drinking and alcohol use disorder.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.150
GPT teacher head0.483
Teacher spread0.333 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2025
Admission routes2
Has abstractyes

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