Pharmacologic Drug Interactions Explained: Additive, Synergistic, Antagonistic, and More | USMLE Step 1 Pharmacology

Learn how to classify pharmacologic interactions with examples — including additive, synergistic, permissive, antagonistic, and tachyphylaxis effects. Perfect for USMLE Step 1, Step 2, and medical pharmacology review.

mymedschool.org
Competitive vs Non-Competitive Antagonism: Mastering Dose-Response Curves in Pharmacology

Learn how competitive antagonists affect drug potency and interpret dose-response curves. Understand high-yield pharmacology concepts for USMLE Step 1 and clinical reasoning in drug interactions.

mymedschool.org
Which Drug Combination is Most Effective? High-Efficacy Options Explained | Pharmacology Guide

Discover which drug combination shows the highest efficacy. Learn how to systematically compare drug pairs, evaluate therapeutic outcomes, and apply this knowledge to clinical decision-making and exams.

mymedschool.org
Can clofazimine replace rifampicin in Mycobacterium avium complex lung disease treatment? The brilliant Sandra Salillas has modified the hollow fiber model so we can find out! Exciting! #pharmacokinetics #pharmacodynamics #mycobacteria #tuberculosis #NTM #ntmlungdisease @radboudumc
#ESR1 mutations in the docking site of Selective Estrogen Receptor Degraders and Modulators #SERD differentially impact on drug affinity across agents. Integrating #ctDNA and #pharmacodynamics. #PrecisionMedicine #BreastCancer
Visualizing localization of #Lymphocytes during #Immunotherapy in human patients with PET-imaging revealed massive and surprising #Heterogeneity in CD8+ T cell distribution and #Pharmacodynamics within and between patients https://www.nature.com/articles/s41591-022-02084-8
Whole-body CD8+ T cell visualization before and during cancer immunotherapy: a phase 1/2 trial - Nature Medicine

A CD8-specific, one-armed antibody positron emission tomography tracer enables the visualization of the immune response in patients with solid tumors before and after starting immunotherapy.

Nature
What this boils down to is using mathematical/statistical models to help explain and predict what the body does to the drug (#Pharmacokinetics, #PK) and what the drug does to the body (#Pharmacodynamics, #PD) - these are often combined to produce #PKPD or #ExposureResponse models.

Pharmacometrics rolls up modeling and simulation for #Pharmacokinetics, #Pharmacodynamics, and #DiseaseProgression, with a focus on populations and variability. A major focus is to understand variability in drug response, which can be predictable (e.g. due to differences in body weight or kidney function) or unpredictable (differences between subjects seem random, but likely reflect a lack of knowledge or data).

https://en.wikipedia.org/wiki/Pharmacometrics

Pharmacometrics - Wikipedia