Pattern Breaking: A Complex Systems Approach to Psychedelic Medicine
Bibliographic record
Abstract
Recent research has demonstrated the potential of psychedelic therapy for mental healthcare. However, the psychological experience underlying its therapeutic effects remain poorlyunderstood. This paper proposes a framework that suggests psychedelics act as destabilisers,both psychologically and neurophysiologically. Drawing on the "entropic brain" hypothesisand the "RElaxed Beliefs Under pSychedelics" (REBUS) model, this paper focuses onthe richness of psychological experience. Through a complex systems theory perspective,we suggest that psychedelics destabilize fixed points or attractors, breaking reinforced patternsof thinking and behaving. Our approach explains how psychedelic-induced increases inbrain entropy destabilize neurophysiological set-points and leads to new conceptualizationsof psychedelic psychotherapy. These insights have important implications for risk mitigationand treatment optimization in psychedelic medicine, both during the peak psychedelicexperience and during the sub-acute period of potential recovery
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".