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Record W1913328868

Update on the clinical use of buprenorphine: in opioid-related disorders.

2012· article· en· W1913328868 on OpenAlexaff
Simon Ducharme, Ronald Fraser, Kathryn Gill

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsBuprenorphineMethadoneMedicineDetoxification (alternative medicine)(+)-NaloxoneOpioidClonidineOpioid use disorderPartial agonistMEDLINEPlaceboIntensive care medicineAgonistAnesthesiaAlternative medicineInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the current evidence on buprenorphine-naloxone for the treatment of opioid-related disorders, with a focus on primary care settings. QUALITY OF EVIDENCE: MEDLINE and the Cochrane Database of Systematic Reviews were searched. Evidence is mainly level I. MAIN MESSAGE: Buprenorphine is a partial μ-opioid agonist and κ-opioid antagonist with a long half-life and less abuse potential than methadone. For detoxification, buprenorphine is at least equivalent to methadone and is superior to clonidine. For maintenance treatment, buprenorphine is clearly superior to placebo. Methadone has a slight advantage in terms of retention in treatment, but a stepped approach with initial use of buprenorphine-naloxone is as efficacious. Use of buprenorphine in the primary care setting is feasible, safe, and effective. Authorization to prescribe buprenorphine can be obtained after completing online training. CONCLUSION: Buprenorphine is a safe and effective agent for detoxification from opioids. It can be used as a first-line agent in maintenance programs, owing to its lower abuse potential relative to other opioids. Its effectiveness in primary care settings makes it a useful therapeutic tool for family physicians.

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 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)0.001
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 score0.079
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.293
Teacher spread0.244 · 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 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

Citations47
Published2012
Admission routes1
Has abstractyes

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