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Record W3161884198 · doi:10.1097/yco.0000000000000718

Early childhood trauma, substance use and complex concurrent disorders among adolescents

2021· review· en· W3161884198 on OpenAlexaff
Maurice Cabanis, Ava Outadi, Fiona Choi

Bibliographic record

VenueCurrent Opinion in Psychiatry · 2021
Typereview
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSubstance useMedicinePsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To highlight the interdependence between early childhood trauma, substance use and complex concurrent disorders among adolescents and discuss the delayed response and gaps in the healthcare system. RECENT FINDINGS: High-risk behavior such as suicidality, self-harm and hazardous substance use including overdose and the use of psychotropic substances for self-medication of mental health challenges is a growing concern. These symptoms are often related to early childhood trauma, substance use and complex concurrent disorders. Most countries do not have a youth mental healthcare system, there are no specific guidelines and only few programs addressing high-risk substance use are in place. SUMMARY: In addition to the significance of traumatic experience for high-risk substance use and addiction, most parts of the system of care ignore the trauma aspect in treatment of substance use and focus on abstinence. There are hardly any early intervention programs, broader prevention strategies or evidence-based or target-group-oriented treatment offers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.098
GPT teacher head0.379
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations44
Published2021
Admission routes1
Has abstractyes

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