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Related Concept Videos

Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

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The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...
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The log-linear model is a pharmacological framework used to describe the relationship between drug concentration and its effect. This model is particularly relevant when the observed effects range between 20% and 80% of the drug’s maximum effect (Emax), where a near-linear relationship is observed between the log of drug concentration and the measured effect. However, the log-linear model does not predict the maximum possible effect (Emax) or the effect at zero drug concentration, limiting its...
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Updated: Jun 27, 2026

The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
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Drinking patterns and myocardial infarction: a linear dose-response model.

Marcia Russell1, Bong Chul Chu, Aniruddha Banerjee

  • 1Prevention Research Center, Pacific Institute for Research, Evaluation, 1995 University Avenue, Berkeley, CA 94704 USA. russell@prev.org

Alcoholism, Clinical and Experimental Research
|November 27, 2008
PubMed
Summary
This summary is machine-generated.

This study models alcohol

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Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
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Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
07:31

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

Published on: January 7, 2019

Area of Science:

  • Cardiovascular epidemiology
  • Alcohol research
  • Mathematical modeling

Background:

  • Alcohol's complex relationship with cardiovascular health requires precise modeling.
  • Existing data lacks mathematical models for drinking patterns and consequences.
  • This study introduces a novel model for alcohol-related cardiovascular risk.

Purpose of the Study:

  • To develop and apply a mathematical dose-response model for alcohol consumption and myocardial infarction (MI) risk.
  • To quantify the independent contributions of drinking frequency and dosage to MI risk.
  • To identify thresholds for safe alcohol consumption concerning MI risk in men and women.

Main Methods:

  • A dose-response model was derived based on linear effects of alcohol use instances and quantities.
  • Drinking frequency and dosage were algebraically modeled to predict risk.
  • Bootstrapped logistic regression analyzed case-control data to estimate MI probability based on drinking patterns.

Main Results:

  • MI risk decreased with higher drinking frequency but increased with higher drinking dosage.
  • The rate of MI risk increase from dosage was double in women compared to men.
  • Lower MI risk was observed below 4.55 drinks/day for men and 3.08 drinks/day for women, with risk increasing thereafter.

Conclusions:

  • A precise mathematical model accurately estimated the linear impact of drinking frequency and dosage on MI risk.
  • The model provides distinct risk profiles for men and women.
  • This framework allows for a more nuanced understanding of alcohol's cardiovascular effects.