Increases in Psychological Flexibility Mediate Relationship Between Acute Psychedelic Effects and Decreases in Racial Trauma Symptoms Among People of Color
Bibliographic record
Abstract
Background Previous research showed acute psychedelic effects were associated with decreases in racial trauma (RT) symptoms among black, indigenous, and people of color (BIPOC). Among samples comprised primarily of white participants, positive outcomes of psychedelic experiences have been mediated by increases in psychological flexibility. Therefore, we examined whether changes in psychological flexibility from before to after a psychedelic experience mediated the relationship between acute psychedelic effects and changes in RT symptoms among BIPOC. Methods This cross-sectional online survey study included 313 BIPOC (mean age = 33.1; SD = 11.2; female = 57%). A multiple linear regression analysis was used to examine the association between acute psychedelic effects and decreases in RT symptoms in a nonclinical setting; a path analysis was used to explore whether changes in psychological flexibility mediated this relationship. Results Acute insight and challenging effects were significantly ( p < .001) associated with decreases in RT symptoms following a psychedelic experience. Increases in psychological flexibility partially mediated relationships between greater intensity of psychological insight and less intensity of challenging experiences and decreases in RT symptoms ( ps<.001). Conclusion This research suggests psychedelics confer potential benefits in decreasing RT symptoms among BIPOC and psychological flexibility may be an important mediator of these effects. Future research should test this hypothesis in a longitudinal clinical trial among BIPOC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".