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CNS Depressants: Alcohol and Nicotine01:27

CNS Depressants: Alcohol and Nicotine

Ethanol, a clear colorless alcohol, has been consumed by humans for millennia, but its effects on the body are far from benign. At lower doses, it induces decreased inhibitions and loquaciousness, leading to its social appeal. However, it can cause severe consequences at higher doses, such as coma and respiratory depression, due to its zero-order elimination kinetics. Chronic ethanol abuse wreaks havoc on multiple organ systems, particularly the CNS and the liver. Abrupt cessation of ethanol...

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The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
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Can stand-alone computer-based interventions reduce alcohol consumption? A systematic review.

Zarnie Khadjesari1, Elizabeth Murray, Catherine Hewitt

  • 1E-health Unit, Research Department of Primary Care and Population Health, University College London, Royal Free Hospital, London, UK. z.khadjesari@ucl.ac.uk

Addiction (Abingdon, England)
|November 19, 2010
PubMed
Summary
This summary is machine-generated.

Computer-based interventions may help reduce alcohol consumption, but evidence is tentative. Further research is needed due to methodological weaknesses in current studies on digital health interventions.

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Published on: January 5, 2018

Area of Science:

  • Public Health
  • Behavioral Science
  • Digital Health

Background:

  • Alcohol consumption remains a significant public health concern.
  • Effective interventions are needed to reduce alcohol intake in adult populations.
  • Computer-based interventions offer a scalable approach to behavior change.

Purpose of the Study:

  • To systematically review and synthesize evidence on computer-based interventions for reducing alcohol consumption.
  • To evaluate the effectiveness of these digital interventions in adult populations.

Main Methods:

  • Conducted a systematic review following Cochrane and PRISMA guidelines.
  • Included randomized controlled trials (RCTs) with parallel comparator groups.
  • Performed meta-analyses on studies measuring alcohol consumption and binge drinking frequency.

Main Results:

  • Computer-based interventions showed potential for reducing weekly alcohol consumption compared to assessment-only groups.
  • Effectiveness was observed in both student and non-student populations.
  • Sensitivity analysis indicated no significant difference when appropriate statistical measures were used, highlighting data distribution concerns.

Conclusions:

  • Computer-based interventions may be effective in reducing alcohol consumption, particularly when compared to minimal interventions.
  • The current evidence is limited by methodological weaknesses in the included studies.
  • Future research should address skewed data distribution and utilize appropriate statistical measures for alcohol consumption.