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Tablets or Talk? A Critical Review of the Literature Comparing Antidepressants and Counseling for Treatment of Depression

2010· review· en· W1896163447 on OpenAlexaff
Brad Hagen, Gina Wong‐Wylie, Em M. Pijl

Bibliographic record

VenueJournal of Mental Health Counseling · 2010
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsAthabasca UniversityUniversity of Lethbridge
Fundersnot available
KeywordsDepression (economics)Mental healthPsychiatryPsychologyClinical psychologyPlaceboMedicinePsychotherapistAlternative medicine

Abstract

fetched live from OpenAlex

Antidepressants re generally considered to be the standard treatment for depression, despite a large body of research evidence documenting the equal or superior efficacy of counseling. This article provides a critical review of the literature comparing the efficacy of antidepressants and counseling for adults with depression. Highlighted are several issues that must be considered when reviewing the literature, including methodological problems, the placebo effect, trauma and depression, comparative safety profiles, and the marketing of antidepressants. Implications for mental health counseling practice and research, including the suggestion that counseling alone should be the first treatment of choice for most persons with depression, are discussed.

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.074
GPT teacher head0.431
Teacher spread0.357 · 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 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

Citations7
Published2010
Admission routes1
Has abstractyes

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