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相关概念视频

Drug Abuse and Addiction: Pharmacological Phenomena01:15

Drug Abuse and Addiction: Pharmacological Phenomena

467
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...
467
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

165
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,...
165
Drug Dependence01:17

Drug Dependence

1.0K
Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
1.0K
Drugs Affecting Neurotransmitter Release or Uptake01:21

Drugs Affecting Neurotransmitter Release or Uptake

1.0K
Certain drugs can affect how neurotransmitters called catecholamines, are released or taken back up in the adrenergic neuron. They can have different effects on the body's sympathetic transmission. Reserpine, a natural compound found in the Rauwolfia shrub, blocks a transporter called vesicular monoamine transporter (VMAT), which leads to a buildup of catecholamines in the cell and reduces sympathetic transmission. Another drug called guanethidine works in multiple ways, including blocking...
1.0K
Stimulants01:29

Stimulants

189
Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
189
An Overview of Psychoactive Drugs01:28

An Overview of Psychoactive Drugs

217
Psychoactive drugs impact brain function, influencing perception, mood, consciousness, cognition, and behavior. These substances are grouped based on their effects and the mechanisms by which they act.
Stimulants such as cocaine, amphetamines, and nicotine enhance brain activity, leading to increased alertness, attention, and energy. These drugs typically raise heart rate, blood pressure, and body temperature. While they can induce feelings of euphoria, their misuse can result in severe health...
217

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相关实验视频

Updated: Jun 27, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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检查网关假设和绘制物质使用途径在社交媒体上的地图:机器学习方法.

Yunhao Yuan1, Erin Kasson2, Jordan Taylor3

  • 1Department of Computer Science, Aalto University, Espoo, Finland.

JMIR formative research
|May 7, 2024
PubMed
概括

社交媒体分析准确地预测了物质使用过渡,识别了升级或降级的语言线索. 这项研究探讨了网关假设,通过检查在线行为,提供了对物质滥用模式的见解.

关键词:
深度学习是一种深度学习.门户假设 门户假设自然语言处理自然语言处理.社交媒体 社交媒体使用物质使用物质.

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科学领域:

  • 计算社会科学 计算社会科学
  • 公共卫生信息学 公共卫生信息学
  • 药物使用研究研究 药物使用研究

背景情况:

  • 滥用药物是一种全球性健康问题,需要有效的预防和恢复策略.
  • 了解物质类型和多物质使用之间的过渡至关重要.
  • 门户假设,暗示低风险物质使用先于高风险使用,是有争议的.

研究的目的:

  • 利用社交媒体数据,更深入地了解物质使用途径.
  • 在社交媒体帖子中识别语言线索,表明物质使用模式的升级或降低.
  • 分析物质使用不同风险水平之间的个体过渡.

主要方法:

  • 对超过229万条Reddit帖子和2937万条评论 (2015-2019) 的大规模分析.
  • 利用深度学习和机器学习来预测基于用户行为的风险级别过渡.
  • 进行了语言分析,重点关注n-gram特征,以确定预测性语言模式.

主要成果:

  • 在预测物质使用风险转变方面获得了78.48%的准确性和79.20%的F1分数.
  • 确定了特定的物质名称和工具,作为未来风险升级的关键预测因素.
  • 减少危害的术语标志着降级,而频繁使用描述符则表示升级.

结论:

  • 通过在线行为分析,研究结果提供了对网关假设复杂性的洞察.
  • 应用于社交媒体数据的机器学习显示了预测物质使用过渡的潜力.
  • 需要进一步的研究来探索对物质使用干预措施的影响.