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Record W2949678057 · doi:10.1080/15332640.2019.1622478

Residential and nonresidential substance use treatment within Indigenous populations: a systematic review

2019· review· en· W2949678057 on OpenAlexafffund
Elaine Toombs, Nicole Marshall, Christopher J. Mushquash

Bibliographic record

VenueJournal of Ethnicity in Substance Abuse · 2019
Typereview
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsNOSM UniversityLakehead University
FundersCanada Excellence Research Chairs, Government of Canada
KeywordsIndigenousTreatment modalitySubstance useModalitiesMedicineInjection drug useBest practiceGrey literatureMEDLINEClinical psychologyPsychologyPsychiatryDrugSociologyPolitical scienceEcologySurgery

Abstract

fetched live from OpenAlex

Examining treatment outcomes of nonresidential and residential treatment programs may suggest best practices for Indigenous communities delivering treatment services. A systematic review of peer-reviewed and gray literatures comparing treatment outcomes for Indigenous populations was completed. Three studies compared treatment outcomes and reported varying results. Reported outcomes were retention and relapse rates, cultural knowledge, and participant treatment duration. Most retrieved studies described residential treatment outcomes, but it was unclear whether this modality is the best option for Indigenous people seeking treatment. Further research describing treatment modalities, across a continuum of care, situated within culturally developed treatment frameworks is required.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.132
GPT teacher head0.410
Teacher spread0.278 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations13
Published2019
Admission routes2
Has abstractyes

Explore more

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