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Record W2942918053 · doi:10.1097/cxa.0000000000000004

Intranasal Opioid-Induced Destruction of the Nose and Throat

2017· article· fr· W2942918053 on OpenAlexaffvenueabout
Laura L. Sutherland, Anne Sutherland, Diana Khalil, Janice R. Safneck, Eric Meen

Bibliographic record

VenueThe Canadian Journal of Addiction · 2017
Typearticle
Languagefr
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of OttawaUniversity of Manitoba
Fundersnot available
KeywordsMedicineNasal administrationOpioidGynecologyInternal medicinePharmacology

Abstract

fetched live from OpenAlex

Les opioïdes jouent un rôle important dans le traitement de la douleur de nombreux patients, mais sont de plus en plus associés au trouble de l’utilisation de substances et à des effets indésirables en Amérique du Nord. Dans cette étude de cas, nous décrivons le premier cas canadien de séquelles significatives intranasales et pharyngiques suite à l’utilisation d’opioïdes intranasaux. Les approches de diagnostic et de traitement sont ensuite décrites. Chez les patients présentant des représentations atypiques, les lésions tissulaires induites par les opioïdes intranasaux devraient être envisagées dans le diagnostic différentiel des lésions tumorales otolaryngologiques. Ce cas souligne l’importance de pouvoir reconnaître les complications otolaryngologiques de la mauvaise utilisation des opioïdes intranasaux et traiter ainsi de manière appropriée en utilisant une approche multidisciplinaire. ABSTRACT Opioids play an important part in the pain management of many patients, but are increasingly associated with substance use disorder and adverse events in North America. In this case report, we describe the first noted Canadian case of significant intranasal and pharyngeal sequelae of intranasal opioid use. Diagnostic and treatment approaches are then described. In patients with atypical presentations, intranasal opioid-induced tissue damage should be considered in the differential diagnosis of otolaryngologic tissue damage. This case highlights the importance of being able to recognize the otolaryngologic complications of intranasal opioid misuse and thereby appropriately treat using a multidisciplinary approach.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.027
GPT teacher head0.270
Teacher spread0.242 · 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.

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

Citations1
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueThe Canadian Journal of AddictionSame topicDrug-Induced Adverse ReactionsFrench-language works237,207