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関連する概念動画

Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

40
Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
40
Pharmacodynamic Models: Emax Drug–Concentration Effect Model01:18

Pharmacodynamic Models: Emax Drug–Concentration Effect Model

79
The Emax drug-concentration effect model is central to pharmacodynamics in drug discovery and development. This model is predicated on the receptor occupancy theory, which posits that the effect of a drug is directly related to the number of receptors occupied by the drug and the resultant complex formation.The model describes the reversible interaction between a drug (C) and a receptor (R) to form a drug-receptor complex (RC). The kinetics of this interaction are quantified by an equation that...
79
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

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Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
471
Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

32
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...
32
Modeling with Differential Equations01:25

Modeling with Differential Equations

122
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
122
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

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The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
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Development of a Preclinical Inhalation Model to Test Vaporized Cannabis Distillates
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大麻使用に総消費モデルは適用されるか？

Thor Norström1, Håkan Leifman2

  • 1Swedish Institute for Social Research, Stockholm University, Stockholm, Sweden.

Addiction (Abingdon, England)
|February 24, 2026
PubMed
まとめ

スウェーデンの若者の大麻使用は、総消費モデルに一致する。平均使用量の変動にもかかわらず、頻度分布は安定しており、平均使用量の増加は高頻度使用者の増加と相関していた。

科学分野:

  • 薬物使用研究
  • 若者の健康
  • 消費社会学

背景:

  • 総消費モデル（TCM）と集合理論は、薬物使用パターンを理解するための枠組みを提供する。
  • 以前の研究では、若者の大麻使用の文脈でこれらのモデルが広範にテストされていなかった。

研究 の 目的:

  • スウェーデンの若者の大麻消費に対するTCMと集合理論の適用可能性を評価すること。
  • 大麻使用頻度分布の経時的な安定性を分析すること。
  • 若者の平均大麻使用量と高頻度使用者の有病率との関係を調べること。

主な方法:

  • スウェーデンの9年生および高校生（1990-2023年）の年次調査データを利用した繰り返し横断研究。
  • 分析には、分布の安定性評価のためのローレンツ曲線とジニ係数を含んだ。
  • 平均使用量と四分位ごとの使用量の間の弾力性を決定するために、最小二乗法（OLS）回帰を使用した。

主要な成果:

  • 大麻使用頻度は、9年生の間で平均使用量に統計的に有意な変動を示したが、全体的な分布は調査年を通じて安定していた。 ; 25パーセンタイルから95パーセンタイルの様々な四分位における平均使用頻度は、全体的な平均使用頻度と正の相関があり、同期した変化を示唆していた。 ; 平均大麻使用量の増加は、高頻度使用者の有病率の増加と統計的に有意に関連していた。
キーワード:
スウェーデン若者大麻分布集合理論総消費モデル

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結論:

  • スウェーデンの若者の大麻使用は、総消費モデルと集合理論の予測を支持する。
  • 調査結果は、平均的な若者の大麻使用量の変化が異なるユーザーグループ全体に反映され、重度使用の増加と関連していることを示唆している。