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相关概念视频

Drug Classes and Categories01:25

Drug Classes and Categories

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Drugs can be classified according to their chemical composition or their intended therapeutic application. For instance, anti-infective agents that possess the ability to eliminate pathogens or suppress their growth and reproduction can be grouped based on the organisms they target or their chemical structure. Furthermore, drugs can be divided into prescription, nonprescription, or controlled substances. Prescription medications, such as antibiotics, require oversight from a licensed healthcare...
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Opioid Analgesics: Morphine and Other Natural Cogeners01:20

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Opioids are a class of drugs that mimic endogenous opioid peptides and act on opioid receptors, and help in pain relief. These compounds are classified as natural, synthetic, or semi-synthetic. Natural opioids, like morphine, codeine, and thebaine, are derived from the opium poppy plant (Papaver somniferum or Papaver album) and are termed opiates. Synthetic opioids are artificial, while semi-synthetic opioids combine natural and synthetic compounds. Morphine, a prototypical opioid, possesses a...
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Opioid Analgesics: Synthetic and Semisynthetic Opioids01:15

Opioid Analgesics: Synthetic and Semisynthetic Opioids

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Synthetic and semisynthetic opioids are pivotal in pain management and tackling opioid addiction. Semisynthetic opioids, including morphinans (morphine derivatives), oxycodone, oxymorphone, hydrocodone, and hydromorphone, have improved pharmacokinetic profiles compared to morphine. Additionally, heroin and 6-MAM (6-Monoacetylmorphine) show better CNS penetration than morphine due to heightened lipid solubility. Hydromorphone, a potent opioid, undergoes hepatic metabolism to form the active...
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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,...
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Drug Abuse and Addiction: Pharmacological Phenomena01:15

Drug Abuse and Addiction: Pharmacological Phenomena

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Drug dependence, abuse, and addiction are complex phenomena that can precipitate various abnormal states. Physical dependence refers to a state of pharmacological adaptation to a drug. This adaptation often results in tolerance—a reduced response to the drug after repeated administrations. When the drug use is abruptly stopped, withdrawal symptoms occur due to the body's need to readjust from the pharmacologically induced imbalance. However, tolerance and withdrawal symptoms do not...
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Opioid Receptors: Overview01:22

Opioid Receptors: Overview

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Opioid receptors, including the mu (μ, MOR), delta (δ, DOR), and kappa (κ, KOR) types, belong to the rhodopsin family of G protein-coupled receptors. These receptors are located throughout the central and peripheral nervous systems and in non-neuronal tissues such as macrophages and astrocytes. Opioid receptor ligands can be categorized into agonists or antagonists. Highly selective agonists include [d-Ala2, MePhe4, Gly(ol)5]-enkephalin or DAMGO for MOR, [D-Pen2,...
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根据使用集群分析的诊断标准项目对阿片类药物使用障碍进行分类.

Shweta Birla1, Vinit Patel2, Dinesh Gupta1

  • 1Translational Bioinformatics Group, International Centre for Genetic Engineering Biotechnology (ICGEB), New Delhi, India.

Industrial psychiatry journal
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概括

这项研究根据严重程度而不是症状相似性确定了两种不同类型的阿片类药物使用障碍 (OUD). 这些发现揭示了临床相关的子组,以更好地了解OUD患者的个人资料.

关键词:
临床相关性 临床相关性精神疾病的诊断和统计手册.集群分析集群分析集群分析与阿片类药物相关的疾病.现象型 现象型 是一种现象型.

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科学领域:

  • 精神病学是一个精神病学.
  • 成 药物 药物 药物 药物
  • 数据科学数据科学数据科学

背景情况:

  • 阿片类药物使用障碍 (OUD) 是一个全球性的健康挑战,患者人口统计和生物心理社会因素不断变化.
  • 了解OUD需要根据诊断标准来表征患者子组.

研究的目的:

  • 通过使用诊断标准,识别OUD个体的不同群体.
  • 为了揭示OUD群体内的临床相关子组.

主要方法:

  • 利用DSM-5的11个诊断标准对OUD诊断进行无监督的集群分析.
  • 包括研究中的204名男性参与者.

主要成果:

  • 从DSM-5标准中出现了两个主要集群,主要反映了OUD严重程度.
  • 与DSM-5标准一起分析临床数据,确定了两组在OUD严重程度,注射药物使用和就业状况方面存在差异.

结论:

  • 对OUD的DSM-5标准的集群分析揭示了基于数值聚合的两个主要组,表明严重程度.
  • 这些发现表明,OUD症状集群在数量上是由严重程度而不是症状相似性驱动的.