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Intensive Short-Term Dynamic Psychotherapy for Complex, Chronic, and Treatment-Resistant Conditions

2025· article· en· W4406934733 on OpenAlex
Allan Abbass, Joel M. Town

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Psychotherapy · 2025
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTerm (time)PsychotherapistPsychology

Abstract

fetched live from OpenAlex

Over the past 50 years, intensive short-term dynamic psychotherapy (ISTDP) has been developed, implemented, and evaluated with respect to the treatment of a broad spectrum of complex, chronic, and treatment-resistant conditions. This therapy was developed specifically to treat a range of patients, including those who are highly defensive, those who experience the repression of emotions, and those who have cognitive-perceptual disruptions along with primitive defenses. These three groups of patients are characterized by patterns of attachment trauma and deficits related to neglect. Among the many categories of mental illness with these features that ISTDP can treat, personality disorders, treatment-resistant depression, and somatic symptoms have been the most frequently studied. In this article, the authors provide an overview of the ISTDP treatment method with regard to complex, chronic, and treatment-resistant conditions and summarize evidence for its effectiveness for diverse patient populations. On the basis of the available evidence, ISTDP warrants consideration as a tool for the management of diverse populations who have chronic and complex conditions and have not responded to other treatments.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.867

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.474
Teacher spread0.419 · 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