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Two decades of the Swiss program based on the prescription of Diacetylmorphine, from a public health intervention to a treatment option

2015· article· en· W2890580238 on OpenAlexfundvenueno aff
Riaz Khan, Yasser Khazaal, Gabriel Thorens, Sophia Achab, R. Annoni-Manghi, Daniele Zullino, Ambros Uchtenhagen

Bibliographic record

VenueThe Canadian Journal of Addiction · 2015
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
FundersAlberta InnovatesCanada Research ChairsUniversity of AlbertaRoyal Alexandra Hospital Foundation
KeywordsMedical prescriptionHeroinMedicinePublic healthIntervention (counseling)Family medicineDrugPsychiatryPharmacologyNursing

Abstract

fetched live from OpenAlex

The medical prescription of diacetyl morphine (heroin) treatment is an addition to the therapeutic arsenal for patients gravely dependent or addicted to heroin use and for whom other forms of therapy have failed. In Switzerland, the Federal Office of Public Health SFOPH) has established directives and recommendations concerning prescription and administration of diacetyl-morphine. La prescription médicale d'un traitement par diacétylmorphine (héroïne) s'ajoute à l'arsenal thérapeutique disponible pour les patients gravement dépendants à l'héroïne et pour qui les autres approches thérapeutiques ont échoué. En Suisse, l'Office fédéral de la santé publique (OFSP) a formulé des directives et recommandations quant à la prescription et l'administration de la diacétylmorphine.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.060
GPT teacher head0.313
Teacher spread0.254 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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