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Adolescent Amphetamine Users in Treatment: Client Profiles and Treatment Outcomes

2000· article· en· W2026928724 on OpenAlexaboutno aff
Josephine M. Hawke, Nancy Jainchill, George De Leon

Bibliographic record

VenueJournal of Psychoactive Drugs · 2000
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
FundersNational Institute on Drug Abuse
KeywordsAmphetamineTherapeutic communityPsychopathologyPsychiatryMedicineLongitudinal studyDrugMultivariate analysisClinical psychologyPsychologyInternal medicine

Abstract

fetched live from OpenAlex

This study compares client profiles of adolescent amphetamine users to those of nonusers and examines the multivariate prediction of posttreatment drug use, criminal, and HIV risk behavior outcomes in the year following their separation from treatment. Data were collected as part of a larger longitudinal study on a sample of 938 adolescents who were admitted to residential therapeutic community drug treatment programs across the eastern United States and Canada from April of 1992 through April of 1994. A subsample of 485 adolescents were reinterviewed one year after their separation from treatment. Findings indicated that amphetamine users tended to be white, older, and have parents with higher education and occupational levels than nonusers. However, they also had more psychopathology, more extensive drug use and criminal histories, and engaged in more HIV-risk behaviors than nonusers. Additionally, amphetamine users tend to come from homes where one or both parents used illicit drugs, drank regularly, or had a mental illness, and they often reported histories of childhood maltreatment. Analyses of the one-year follow-up data indicated that being an amphetamine user was not related to treatment outcome after the client's demographic characteristics, overall drug use severity, and treatment completion were taken into account. Therefore, therapeutic community treatment appears to be an effective means of treating adolescent amphetamine users.

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 score0.612
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.020
GPT teacher head0.332
Teacher spread0.312 · 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

Citations47
Published2000
Admission routes1
Has abstractyes

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