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Updated: Dec 24, 2025

Preclinical Model of Prenatal Delta-9-Tetrahydrocannabinol Exposure to Assess Its Impact on Neurodevelopmental Outcomes
Published on: February 28, 2025
A Δ9-Tetrahydrocannabinol Physiologically-Based Pharmacokinetic Model Development in Humans
Janthima Methaneethorn1,2,3, Chomkanang Poomsaidorn1,2, Kanyamas Naosang1,2
1Pharmacokinetic Research Unit, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand.
A new physiologically-based pharmacokinetic (PBPK) model accurately predicts delta-9-tetrahydrocannabinol (THC) concentrations in human tissues. This model aids understanding of THC disposition for improved therapeutic applications.
Area of Science:
- Pharmacokinetics
- Physiologically-based pharmacokinetic (PBPK) modeling
- Cannabinoid research
Background:
- Delta-9-tetrahydrocannabinol (THC) possesses therapeutic properties including analgesia, anti-emesis, and muscle relaxation.
- Understanding THC distribution in target organs is vital for optimizing THC-based therapies.
- Existing knowledge gaps necessitate advanced modeling for tissue-specific THC disposition.
Purpose of the Study:
- To develop a human physiologically-based pharmacokinetic (PBPK) model for delta-9-tetrahydrocannabinol (THC).
- To characterize tissue-specific pharmacokinetics of THC in key human organs.
- To provide a predictive tool for THC therapy and drug development.
Main Methods:
- Extrapolation of a pre-existing PBPK model from animal studies (mice, rats, pigs) to humans.
- Inclusion of seven distinct physiological compartments (brain, lungs, liver, kidneys, fat, rapidly perfused, and slowly perfused tissues).
- Incorporation of P-glycoprotein in the brain compartment to model THC efflux; parameterization using literature data; validation against published THC concentration data.
Main Results:
- The developed PBPK model demonstrated good agreement between predicted and observed THC concentrations.
- Model validation across multiple studies and administration routes (IV bolus, IV infusion, oral, inhalation) showed high accuracy.
- The coefficient of determination (R²), indicating model fit, ranged from 0.54 to 0.95.
Conclusions:
- A robust PBPK model for THC in humans has been successfully developed.
- The model accurately describes THC concentration-time profiles across various administration routes.
- This PBPK model serves as a valuable tool for predicting THC behavior in different tissues and optimizing therapeutic strategies.
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