ReviewClinical pharmacology and therapeutics2019
Pharmacodynamic Drug-Drug Interactions.
Review in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 3 of them syntheses that pooled it.
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
104 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Administration sequences in single-day chemotherapy regimens for breast cancer: a comprehensive review from a practical perspective.Frontiers in oncology · 2024Pooled it
- Drug-drug interactions involving classic psychedelics: A systematic review.Journal of psychopharmacology (Oxford, England) · 2024Pooled it
- Drug-drug interactions with direct oral anticoagulants: development of a consensus list for ambulatory care.International journal of clinical pharmacy · 2023Guideline
- Population Pharmacokinetics and Pharmacodynamics with Enterohepatic Recirculation of Co-Medication of Rosuvastatin and Ezetimibe.Drug design, development and therapy · 2025Trial
- Insights into the Complexities of Pharmacotherapy Parameters in Artificial Intelligence Models for Drug Selection, Precision Personalised Medicine and Optimal Therapeutic Outcomes.Pharmaceutics · 2026Review
- DDI-HierPred: An Artificial Intelligence-Based Hierarchical PK/PD Platform for Drug-Drug Interaction Prediction.Pharmaceutics · 2026Article
- A Simple and Sensitive LC-MS/MS Method for Simultaneous Quantification of Dasatinib and Erythromycin in Mice Plasma: Application to Preclinical Pharmacokinetic Study.Biomedical chromatography : BMC · 2026Article
- How Advanced Artificial Intelligence Technologies Shape Drug-Drug and Drug-Target Interaction Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Questions on Medicines, Alcohol, and Illicit Drug Interactions in the Finnish AddictionLink Online Service: A Descriptive Analysis.Nordisk alkohol- & narkotikatidskrift : NAT · 2026Article
- Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.Computers & chemical engineering · 2026Article
- Machine learning and deep learning-based drug-drug interactions prediction: a systematic review focused on anticancer drugs.NPJ precision oncology · 2026Article
- Vitamin A Modulates AHR Signaling and Restricts Zika Virus Replication in Human Retinal Pigment Epithelial Cells: Insights from Molecular Modeling and Antiviral Assays.Pathogens (Basel, Switzerland) · 2026Article
- In Vitro and Clinical Evaluation of Potential Interactions of Bemnifosbuvir with Drug-Metabolizing Enzymes.Journal of clinical pharmacology · 2026Article
- Phytochemical and Fungal Bioactive Compounds in the "Brain Health Triad": A Narrative Review on Neurostimulating, Neurotrophic, and Neuroprotective Synergy.International journal of molecular sciences · 2026Review
- Co-encapsulation in Solid Lipid Nanoparticles and Nanostructured Lipid Carriers as an Emerging Therapeutic Strategy.Molecular diagnosis & therapy · 2026Review
- Response to Tutorial Drug-Drug Interactions by EM Sellers.Clinical and translational science · 2026Article
- Cytotoxic and Synergistic Effects of Environmentally Relevant Binary Pollutant Mixtures in a Human Lymphoblast Cell Line.Journal of xenobiotics · 2026Article
- Investigating the Synergistic Effect of the Cannabis Extract PHEC-66 and Chemotherapeutic Agents on Human Melanoma Cells.International journal of molecular sciences · 2026Article
- Machine learning models for drug-drug interaction prediction from computational discovery to clinical application.NPJ digital medicine · 2026Review
- Knowledge, attitudes, practices, and barriers toward drug-drug interaction management among pharmacists in Riyadh, Saudi Arabia: a cross-sectional study.Frontiers in public health · 2026Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Pharmacodynamic drug-drug interactions (DDIs) occur when the pharmacological effect of one drug is altered by that of another drug in a combination regimen. DDIs often are classified as synergistic, additive, or antagonistic in nature, albeit these terms are frequently misused. Within a complex pathophysiological system, the mechanism of interaction may occur at the same target or through alternate pathways. Quantitative evaluation of pharmacodynamic DDIs by employing modeling and simulation approaches is needed to identify and optimize safe and effective combination therapy regimens. This review investigates the opportunities and challenges in pharmacodynamic DDI studies and highlights examples of quantitative methods for evaluating pharmacodynamic DDIs, with a particular emphasis on the use of mechanism-based modeling and simulation in DDI studies. Advancements in both experimental and computational techniques will enable the application of better, model-informed assessments of pharmacodynamic DDIs in drug discovery, development, and therapeutics.
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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.