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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

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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 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...
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Drugs Affecting Neurotransmitter Release or Uptake01:21

Drugs Affecting Neurotransmitter Release or Uptake

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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...
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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...
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An Overview of Psychoactive Drugs01:28

An Overview of Psychoactive Drugs

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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...
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Related Experiment Video

Updated: Jun 27, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

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Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach.

Yunhao Yuan1, Erin Kasson2, Jordan Taylor3

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

JMIR Formative Research
|May 7, 2024
PubMed
Summary
This summary is machine-generated.

Social media analysis accurately predicts substance use transitions, identifying linguistic cues for escalation or de-escalation. This research explores the gateway hypothesis by examining online behavior, offering insights into substance misuse patterns.

Keywords:
deep learninggateway hypothesisnatural language processingsocial mediasubstance use

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Area of Science:

  • Computational Social Science
  • Public Health Informatics
  • Substance Use Research

Background:

  • Substance misuse is a global health issue requiring effective prevention and recovery strategies.
  • Understanding transitions between substance types and polysubstance use is critical.
  • The gateway hypothesis, suggesting lower-risk substance use precedes higher-risk use, is debated.

Purpose of the Study:

  • To leverage social media data for a deeper understanding of substance use pathways.
  • To identify linguistic cues in social media posts indicating escalating or de-escalating substance use patterns.
  • To analyze individual transitions between different risk levels of substance use.

Main Methods:

  • Large-scale analysis of over 2.29 million Reddit posts and 29.37 million comments (2015-2019).
  • Utilized deep learning and machine learning to predict risk level transitions based on user behavior.
  • Conducted linguistic analysis focusing on n-gram features to identify predictive language patterns.

Main Results:

  • Achieved 78.48% accuracy and 79.20% F1-score in predicting substance use risk transitions.
  • Identified specific substance names and tools as key predictors of future risk escalation.
  • Harm reduction terms signaled de-escalation, while frequent use descriptors indicated escalation.

Conclusions:

  • Findings offer insights into the complexities of the gateway hypothesis via online behavior analysis.
  • Machine learning applied to social media data shows potential for predicting substance use transitions.
  • Further research is needed to explore implications for substance use interventions.