Effects of Psychedelic Use on Racial Trauma Symptoms and Ethnic Identity among Asians in North America
Bibliographic record
Abstract
There is a need to understand ways in which Asians in North America attempt to heal from racial trauma, given their well-documented high risk of exposure and associated adverse mental health outcomes. We conducted a secondary analysis of Asians from a survey of people of color in North America who have consumed psychedelics in response to racial discrimination. Ninety-two Asian participants (Mage = 30.25, SD = 6.83) completed online questions assessing demographics, racial discrimination frequency, characteristics and acute effects of their most meaningful psychedelic experience, change in racial trauma symptoms 30 days before and after their psychedelic experience, and current ethnic identity. Participants reported improvements in racial trauma symptoms (d = 0.52). Bootstrapped mediation analyses controlling for racial discrimination frequency and psychedelic dose and duration indicated complete mediation of the link between higher intensity of insightful experiences and stronger ethnic identity, via improvements in racial trauma symptoms (indirect effect = .08, 95% CI = [.004, .19]). There was partial mediation for the independent variable of lower intensity of challenging experiences (indirect effect = −.08, 95% CI = [−.18, −.005]). This study highlights the central role of higher-intensity insightful experiences and both higher- and lower-intensity challenging experiences in alleviating racial trauma symptoms and promoting ethnic identity among Asians in North America who have experienced racial discrimination. Future research should attune to culturally relevant outcomes of psychedelic use in response to racial discrimination among Asians.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".