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Record W4385737324 · doi:10.1097/adm.0000000000001215

Initiation of Extended-release Depot Buprenorphine in a Patient Subject to a Community Treatment Order for Both Antipsychotic and Opioid Agonist Treatments

2023· article· en· W4385737324 on OpenAlexaff
Joel Pidutti, Ari B. Cuperfain, Eric Solway, Virginia Duff, Erin Lurie

Bibliographic record

VenueJournal of Addiction Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of TorontoSt. Michael's HospitalSt Joseph's Health Centre
Fundersnot available
KeywordsBuprenorphineOpioid use disorderMedicinePsychiatryPopulationAntipsychoticMethadoneAssertive community treatmentOpiate Substitution TreatmentSchizophrenia (object-oriented programming)PsychosisOpioidInternal medicineMental illnessMental health

Abstract

fetched live from OpenAlex

ABSTRACT: Opioid use disorder (OUD) and schizophrenia are commonly comorbid, and patient outcomes are improved when these conditions are managed concurrently. Medication for OUD such as methadone and buprenorphine are treatments for OUD, yet psychosis introduces additional challenges in retaining patients in care. Extended-release depot buprenorphine is an emerging option for the treatment of moderate-to-severe OUD, and it may provide certain benefits in patients with concurrent OUD and psychosis. We present the case of a 32-year-old man with schizophrenia, traumatic brain injury, and OUD with a history of multiple opioid-related overdoses, followed by an assertive community treatment team, and subject to a community treatment order for both his primary psychotic disorder and OUD treatments. We discuss the role of extended-release depot buprenorphine in this unique patient population and the ethical considerations of involuntary treatment of OUD in patients lacking capacity to consent to treatment.

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)0.000
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 score0.644
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.321
Teacher spread0.292 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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