Anaesthetic implications of psilocybin and lysergic acid diethylamide: what is old is now new
Bibliographic record
Abstract
Psychedelic drugs, known for their perception-altering properties, are gaining popularity in the treatment of mental health and pain disorders. As exploratory studies demonstrate clinical efficacy with few adverse events, it is expected that more patients will ingest psychedelic drugs. For therapeutic reasons, as with any drug, anaesthesiologists must be aware of its physiological effects and contraindications to ensure the safe provision of anaesthesia. Psilocybin is a 5HT 1A and 5HT 2A serotonin receptor agonist thought to act on excitatory and inhibitory neurons in the brain. Acute ingestion causes sympathetic nervous system activation, which can precipitate haemodynamic instability. Activation of the 5HT serotonin receptors can also place the patient at risk of serotonin syndrome. Chronic use increases plasma concentrations of cortisol, which has implications on prophylactic stress-dosing of glucocorticoids preoperatively. Lysergic acid diethylamide (LSD), a synthetic psychoactive substance, is also a 5HT2 A agonist. LSD has been shown to potentiate opioid analgesics, and monoamine oxidase (MAO) inhibition. Historical reports suggest that LSD has anticholinesterase activity and can prolong neuromuscular block with depolarising muscle relaxants. Mescaline is a poorly understood psychedelic with similar autonomic effects. Historical studies have shown decreased neuromuscular transmission and an association with malignant hyperthermia. When managing patients who have consumed psychedelics drugs, it is important to consider delaying surgery whenever possible, to allow acute intoxication to wane. A high degree of suspicion and an understanding of management principles is vital to the safe conduct of anaesthesia. Future research should explore therapeutic doses of psychedelic drugs to understand physiologic effects at various concentrations.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".