Population pharmacokinetic/pharmacodynamic modelling of the psychedelic experience induced by N,N-dimethyltryptamine - implications for dose considerations
Using data from 13 healthy volunteers given intravenous DMT, the authors developed a population PK/PD model (two‑compartment PK, high clearance ≈26 L/min, effect‑site sigmoid Emax with EC50 ≈95 nM) linking plasma concentrations to subjective psychedelic intensity. Simulations translate exposure into dose–response predictions (median maximum intensity ratings for 1–20 mg), providing a tool to guide dose selection in clinical investigations.
Authors
- Robin Carhart-Harris
- Christopher Timmermann
- Michael Ashton
Published
Abstract
N,N‐dimethyltryptamine (DMT) is a psychedelic compound that is believed to have potential as a therapeutic option in several psychiatric disorders. The number of clinical investigations with DMT is increasing. However, very little is known about the pharmacokinetic properties of DMT as well as any relationship between its exposure and effects. This study aimed to characterize population pharmacokinetics of DMT as well as the relationship between DMT plasma concentrations and its psychedelic effects as measured through subjective intensity ratings. Data were obtained from 13 healthy subjects after intravenous administration of DMT. The data were analyzed using nonlinear mixed‐effects modeling in NONMEM. DMT plasma concentrations were described by a two‐compartment model with first‐order elimination leading to formation of the major metabolite indole 3‐acetic acid. The relationship between plasma concentrations and psychedelic intensity was described by an effect site compartment model with a sigmoid maximum effect (Emax) response. DMT clearance was estimated at 26 L/min, a high value indicating elimination of DMT to be independent of blood flow. Higher concentrations of DMT were associated with a more intense experience with the concentration of DMT at the effect site required to produce half of the maximum response estimated at 95 nM. The maximum achievable intensity rating was 10 and the simulated median maximum rating was zero, 2, 4, 8, and 9 after doses of 1, 4, 7, 14, and 20 mg, respectively. The model can be useful in predicting suitable doses for clinical investigations of DMT based on the desired intensity of the subjective experience.
Research Summary of 'Population pharmacokinetic/pharmacodynamic modelling of the psychedelic experience induced by N,N-dimethyltryptamine - implications for dose considerations'
Introduction
Depressive and anxiety disorders affect hundreds of millions worldwide, and a substantial fraction of patients do not respond to available treatments. Renewed interest in classic serotonergic psychedelics has been driven by preliminary evidence of lasting therapeutic effects after single or few doses. N,N-dimethyltryptamine (DMT) is a naturally occurring psychedelic found in ayahuasca and is believed to act primarily via 5-HT2A receptor agonism; however, DMT is rapidly metabolised (principally by monoamine oxidase A (MAO‑A)) and, despite growing clinical investigation, its human pharmacokinetic (PK) and pharmacodynamic (PD) properties remain poorly characterised. Eckernäs and colleagues set out to characterise population PK of intravenously administered DMT and to quantify the PKPD relationship between plasma DMT concentrations and the psychedelic experience as measured by real‑time subjective intensity ratings. The stated aim was to provide a model that could support dose selection for future clinical studies, including decisions about doses producing sub‑psychedelic versus fully psychedelic experiences and the design of extended administration regimens.
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Study Details
- Study Typeindividual
- Journal
- Compound
- Topics
- Authors
- APA Citation
Eckernäs, E., Timmermann, C., Carhart‐Harris, R., Röshammar, D., & Ashton, M. (2022). Population pharmacokinetic/pharmacodynamic modelling of the psychedelic experience induced by N,N-dimethyltryptamine - implications for dose considerations. Clinical and Translational Science, 15(12), 2928-2937. https://doi.org/10.1111/cts.13410
References (9)
Papers cited by this study that are also in Blossom
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Carhart-Harris, R. L., Bolstridge, &. M., Day, C. M. J. et al. · Psychopharmacology (2017)
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Palhano-Fontes, F., Barreto, D., Onias, H. et al. · Psychological Medicine (2018)
Cameron, L. P., Benson, C. J., Dunlap, L. E. · ACS Chemical Neuroscience (2018)
Timmermann, C., Roseman, L., Schartner, M. et al. · Scientific Reports (2019)
Strassman, R. J., Qualls, C .R. · JAMA Psychiatry (1994)
Gallimore, A. R., Strassman, R. J. · Frontiers in Pharmacology (2016)
Yaden, D. B., Griffiths, R. R. · ACS Pharmacology and Translational Science (2020)
Cited By (2)
Papers in Blossom that reference this study
Egger, K., Redondo, J. J., Müller, J. et al. · Biomedicine & Pharmacotherapy (2025)
Luan, L. X., Eckernäs, E., Ashton, M. et al. · Journal of Psychopharmacology (2023)
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