OPEN Foundation

D. Presti

Quantitative Analysis of Narrative Reports of Psychedelic Drugs

June 1, 2012 / Ayahuasca, Cacti / Mescaline, DMT, Iboga / Ibogaine, Ketamine, LSD, MDMA, Mushrooms / Psilocybin, Other disciplines, Other subjects, Other substances, Papers, Publications, Salvia / Salvinorin A / By / , ,

Abstract

Background

Psychedelic drugs facilitate profound changes in consciousness and have potential to provide insights into the nature of human mental processes and their relation to brain physiology. Yet published scientific literature reflects a very limited understanding of the effects of these drugs, especially for newer synthetic compounds. The number of clinical trials and range of drugs formally studied is dwarfed by the number of written descriptions of the many drugs taken by people. Analysis of these descriptions using machine-learning techniques can provide a framework for learning about these drug use experiences.

Methods

We collected 1000 reports of 10 drugs from the drug information website Erowid.org and formed a term-document frequency matrix. Using variable selection and a random-forest classifier, we identified a subset of words that differentiated between drugs.

Results

A random forest using a subset of 110 predictor variables classified with accuracy comparable to a random forest using the full set of 3934 predictors. Our estimated accuracy was 51.1%, which compares favorably to the 10% expected from chance. Reports of MDMA had the highest accuracy at 86.9%; those describing DPT had the lowest at 20.1%. Hierarchical clustering suggested similarities between certain drugs, such as DMT and Salvia divinorum.

Conclusion

Machine-learning techniques can reveal consistencies in descriptions of drug use experiences that vary by drug class. This may be useful for developing hypotheses about the pharmacology and toxicity of new and poorly characterized drugs.

Coyle, J. R., Presti, D. E., Baggott, M. J. (2012). Quantitative Analysis of Narrative Reports of Psychedelic Drugs.
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Endogenous psychoactive tryptamines reconsidered: an anxiolytic role for dimethyltryptamine

November 4, 2004 / DMT, Other subjects, Papers, Psychiatry, Psychology, Psychopharmacology, Publications / By / ,

Abstract

The presence of the potent hallucinogenic psychoactive chemical N,N-dimethyltryptamine (DMT) in the human body has puzzled scientists for decades. Endogenous DMT was investigated in the 1960s and 1970s and it was proposed that DMT was involved in psychosis and schizophrenia. This hypothesis developed from comparisons of the blood and urine of schizophrenic and control subjects. However, much of this research proved inconclusive and conventional thinking has since held that trace levels of DMT, and other endogenous psychoactive tryptamines, are insignificant metabolic byproducts. The recent discovery of a G-protein-coupled, human trace amine receptor has triggered a reappraisal of the role of compounds present in limited concentrations in biological systems. Interestingly enough, DMT and other psychoactive tryptamine hallucinogens elicit a robust response at the trace amine receptor. While it is currently accepted that serotonin 5-HT2A receptors play a pivotal role in the activity of hallucinogenic/ psychedelic compounds, we propose that the effects induced by exogenous DMT administration, especially at low doses, are due in part to activity at the trace amine receptor. Furthermore, we suggest that endogenous DMT interacts with the TA receptor to produce a calm and relaxed mental state, which may suppress, rather than promote, symptoms of psychosis. This hypothesis may help explain the inconsistency in the early analysis of endogenous DMT in humans. Finally, we propose that amphetamine action at the TA receptor may contribute to the calming effects of amphetamine and related drugs, especially at low doses.

Jacob, M. S., & Presti, D. E. (2004). Endogenous psychoactive tryptamines reconsidered: an anxiolytic role for dimethyltryptamine. Medical Hypotheses, 64(5), 930-937. http://dx.doi.org/10.1016/j.mehy.2004.11.005

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30 April - Q&A with Rick Strassman

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