ArticleDrug metabolism and disposition: the biological fate of chemicals2021
Development and Verification of a Linked
Article in Drug metabolism and disposition: the biological fate of chemicals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Predicting Cannabidiol Pharmacokinetics in Older Adults Via Physiologically Based Pharmacokinetic Modeling.The AAPS journal · 2026Article
- Recreational Cannabis Use During Human Pregnancy: Its Effects on the Placenta and Endocannabinoid System.International journal of molecular sciences · 2026Review
- Physiologically Based Pharmacokinetic Modeling of Cannabidiol, Delta-9-Tetrahydrocannabinol, and Their Metabolites in Healthy Adults After Administration by Multiple Routes.Clinical and translational science · 2025Article
- Strategy advancements in placental pharmacokinetics: fromFrontiers in pharmacology · 2025Review
- Are ΔInternational journal of molecular sciences · 2024Article
- CBD and THC in Special Populations: Pharmacokinetics and Drug-Drug Interactions.Pharmaceutics · 2024Review
- Predicting Maternal and Infant Tetrahydrocannabinol Exposure in Lactating Cannabis Users: A Physiologically Based Pharmacokinetic Modeling Approach.Pharmaceutics · 2023Article
- Evaluation of Cytochrome P450-Mediated Cannabinoid-Drug Interactions in Healthy Adult Participants.Clinical pharmacology and therapeutics · 2023Article
- Physiologically based pharmacokinetic modeling and simulation of cannabinoids in human plasma and tissues.Journal of applied toxicology : JAT · 2023Article
- Utilization of Physiologically Based Pharmacokinetic Modeling in Pharmacokinetic Study of Natural Medicine: An Overview.Molecules (Basel, Switzerland) · 2022Review
- Predicting the systemic exposure and lung concentration of nafamostat using physiologically-based pharmacokinetic modeling.Translational and clinical pharmacology · 2022Article
- Predicting Human Fetal Drug Exposure Through Maternal-Fetal PBPK Modeling and In Vitro or Ex Vivo Studies.Journal of clinical pharmacology · 2022Review
- Comprehensive Predictions of Cytochrome P450 (P450)-Mediated In Vivo Cannabinoid-Drug Interactions Based on Reversible and Time-Dependent P450 Inhibition in Human Liver Microsomes.Drug metabolism and disposition: the biological fate of chemicals · 2022Article
- The impact of pregnancy and associated hormones on the pharmacokinetics of ΔExpert opinion on drug metabolism & toxicologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Conducting clinical trials to understand the exposure risk/benefit relationship of cannabis use is not always feasible. Alternatively, physiologically based pharmacokinetic (PBPK) models can be used to predict exposure of the psychoactive cannabinoid (-)-Δ
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.