Integrating psychotherapy and psychopharmacology: psychedelic-assisted psychotherapy and other combined treatments
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.
Bibliographic record
Abstract
INTRODUCTION: Combinations of psychotherapy with antidepressants are gold-standard psychiatric treatments. They operate through complex and interactional mechanisms, not unlike the reemergent paradigm of psychedelic-assisted psychotherapy, which promising research suggests may also be highly effective in even challenging populations. AREAS COVERED: We review the therapeutic mechanisms behind both conventional and psychedelic paradigms, including the evolution of this knowledge and the associated explanatory frameworks. We explore how psychedelics have provided insights about psychiatric illnesses and treatments over the past decades. We discuss limitations to early explanatory models while highlighting and comparing the psychological and biological mechanisms underlying many psychiatric treatments. METHODS: , 2020, and iterative retrieval of references from recent reviews and clinical trials. EXPERT OPINION: The contextual model of the common factors of psychotherapy provides a powerful perspective on psychotherapy, antidepressants, and psychedelics, as well as 3,4-methylenedioxymethamphetamine (MDMA) and ketamine. It aligns well with key tenets of psychedelic-assisted psychotherapy. Conventional antidepressants and especially psychedelics may improve the efficacy of psychotherapy via neurochemical changes and increased environmental sensitivity. Combined treatments hold significant promise for advancing the knowledge and treatment of many forms of psychopathology.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it