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Record W4281797075 · doi:10.1097/adm.0000000000000992

Pharmacotherapies for Adults With Alcohol Use Disorders: A Systematic Review and Network Meta-analysis

2022· review· en· W4281797075 on OpenAlex
Anees Bahji, Paxton Bach, Marlon Danilewitz, David Crockford, Daniel J. Devoe, Nady el‐Guebaly, Richard Saitz

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Addiction Medicine · 2022
Typereview
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsBritish Columbia Centre on Substance Use
FundersNational Institute on Drug AbuseCumming School of Medicine, University of CalgaryNational Institutes of HealthEisaiBrandeis UniversityMassachusetts Medical SocietyAmerican Psychiatric Association FoundationAmerican Academy of Addiction PsychiatryUniversity of OregonYale UniversityUniverzita Karlova v PrazeSchool of Medicine, Boston UniversityKaiser PermanenteKarolinska InstitutetRAND Corporation
KeywordsMedicineAcamprosateRelative riskInternal medicineAdverse effectPlaceboTopiramateConfidence intervalNaltrexonePsychiatryOpioid

Abstract

fetched live from OpenAlex

BACKGROUND: We aimed to determine medications' comparative efficacy and safety for adults with alcohol use disorders. METHODS: We searched eleven electronic data sources for randomized clinical trials with at least 4 weeks of treatment reporting on alcohol consumption (total abstinence and reduced heavy drinking), dropouts, and dropouts due to adverse events. We conducted network meta-analyses using random-effects, frequentist models, and calculated summary rate ratios (RRs) with 95% confidence intervals (CIs). RESULTS: We included 156 trials (N = 27,334). Nefazodone (RR = 2.11; 95% CI, 1.42-3.13), aripiprazole (RR = 1.97; 95% CI, 1.36-2.88), carbamazepine (RR = 1.85; 95% CI, 1.03-3.32), and nalmefene (RR = 1.17; 95% CI, 1.01-1.35) were associated with the most dropouts. Baclofen (RR = 0.83; 95% CI, 0.70-0.97) and pregabalin (RR = 0.63; 95% CI, 0.43-0.94) caused fewer dropouts than placebo. Nalmefene (RR = 3.26; 95% CI, 2.34-4.55), fluvoxamine (RR = 3.08; 95% CI, 1.59-5.94), and topiramate (RR=2.18; 95% CI, 1.36-3.51) caused more dropouts from adverse events over placebo. Gamma-hydroxy-butyrate (RR = 1.90; 95% CI, 1.03-3.53), baclofen (RR = 1.80; 95% CI, 1.39-2.34), disulfiram (RR = 1.71; 95% CI, 1.39-2.10), gabapentin (RR = 1.66; 95% CI, 1.04-2.67), acamprosate (RR = 1.33; 95% CI, 1.15-1.54), and oral naltrexone (RR = 1.15; 95% CI, 1.01-1.32) improved total abstinence over placebo (Fig. 3C). For reduced heavy drinking, disulfiram (RR = 0.19; 95% CI, 0.10-0.35), baclofen (RR = 0.72; 95% CI, 0.57-0.91), acamprosate (RR = 0.78; 95% CI, 0.70-0.86), and oral naltrexone (RR = 0.81; 95% CI, 0.73-0.90) were efficacious against placebo. CONCLUSIONS: The current meta-analyses provide evidence that several medications for AUDs are effective and safe and encourage the expanded use of these medications in the clinical setting. Our review found that acamprosate (2-3 g/d), disulfiram (250-500 mg/d), baclofen (30 mg/d), and oral naltrexone (50 mg/d) had the best evidence for improving abstinence and heavy drinking for patients with AUD. PROSPERO: CRD42020208946.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.298
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0110.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.151
GPT teacher head0.392
Teacher spread0.241 · 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