Heart rate (HR) and heart rate variability (HRV) response to inhaled N, N-dimethyltryptamine (N, N-DMT): A case report
Bibliographic record
Abstract
Abstract Background N, N-Dimethyltryptamine (N, N-DMT) is a naturally occurring tryptamine-based alkaloid and classic psychedelic. The potent psychoactive properties of N, N-DMT are mediated by serotonin 2A (5-HT2A) receptor agonism. There are limited investigations into the physiologic effects of inhaled N, N-DMT, despite this being one of the most common routes of administration. Heart rate variability (HRV) is an emergent non-invasive marker of cardiac autonomic nervous system (ANS) regulation and reductions in HRV have been negatively associated with multiple health outcomes. Methods A case is described with a brief review of supportive findings. Results Heart rate (HR) and HRV responses following three naturalistic inhaled N, N-DMT experiences were documented in a healthy 31-year-old male. Acute transient elevations in HR immediately following N, N-DMT administration and a pronounced elevation in the average daily HRV one-day following the experiences were observed. The duration of experience shortened across the three experiences despite similar N, N-DMT doses. Conclusion These findings offer preliminary evidence into the effect of inhaled N, N-DMT on HR and HRV. Given the emergent understanding of reductions in HRV as a hazardous marker of stress, psychiatric conditions, and mental health outcomes, further research into the effects of psychedelics on HRV is warranted.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".