Psilocybin Use in an Intercollegiate Athlete with Persisting Symptoms After Concussion: A Case Report
Bibliographic record
Abstract
Background: Persisting symptoms after concussion is a complex syndrome warranting exploration into further treatment options. Emerging research highlights the potential of classic psychedelics, such as psilocybin, in managing neuropsychiatric conditions and promoting neuroprotection. Case Report: A case is presented of a 22-year-old male intercollegiate athlete who sustained a concussion and developed persisting symptoms despite multidisciplinary standard care. The symptom burden remained relatively stable for the first month post-concussion. He independently administered three 250 milligram (mg) doses of the dried fruiting body of Psilocybe cubensis (2.5 mg of psilocybin) on days 42, 45, and 46 post-injury. He reported immediate symptom relief, including improvements in headache, noise sensitivity, and cognitive function. His symptom severity score decreased from 25 to 11 and his affective symptom burden resolved completely. Functional improvements allowed him to return to full activity. No adverse effects were reported. Conclusions: This case highlights the potential role of classic psychedelics as adjuvant agents in treating persisting symptoms after concussion. Clinicians should be aware that athletes may explore psychedelics as alternative treatments. Further research is needed to evaluate the efficacy and safety of psilocybin in concussion recovery.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".