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Record W4410372360 · doi:10.1186/s13722-025-00572-z

Patient-elected low-dose intravenous naloxone for rapid buprenorphine induction: a case report

2025· article· en· W4410372360 on OpenAlex
Pouya Azar, Jéssica Lígia Picanço Machado, James S.H. Wong, Mohammadali Nikoo, Victor W. Li

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

VenueAddiction Science & Clinical Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsBuprenorphine(+)-NaloxoneMedicineOpioid use disorderAnesthesiaFentanylOpioidInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Buprenorphine is a common partial opioid agonist treatment for opioid use disorder (OUD). Despite its efficacy, major challenges to induction include the significant time consumption and the difficult requirement for patients to be in moderate opioid withdrawal. CASE PRESENTATION: We present the case of a 31-year-old man with severe OUD and regular fentanyl use who was successfully initiated on buprenorphine-naloxone using low-dose intravenous naloxone in ten minutes and administered 300 mg of extended-release injectable buprenorphine within two hours. This involved the rapid administration of small doses of intravenous naloxone with an assessment of withdrawal symptoms after each dose. Buprenorphine-naloxone is immediately administered once moderate withdrawal is reached. CONCLUSIONS: Low-dose intravenous naloxone provides an alternative method of buprenorphine induction that limits the experience of withdrawal to a shorter time window compared to existing protocols.

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)0.003
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.411
Teacher spread0.372 · 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