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Analgesia and Pain Management01:25

Analgesia and Pain Management

Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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Dosage Regimen: Individualization

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Updated: Jun 3, 2026

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

Individualized pain medicine.

Hyungsuk Kim1, Raymond A Dionne

  • 1National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.

Drug Discovery Today. Therapeutic Strategies
|October 1, 2011
PubMed
Summary
This summary is machine-generated.

Personalized medicine uses individual genomes to tailor treatments, aiming for better drug efficacy and fewer side effects. However, individualized pain medicine requires further research into genomics and environmental factors.

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Area of Science:

  • Genomics
  • Pharmacology
  • Translational Medicine

Background:

  • The human genome project has enabled personalized medicine approaches.
  • Personalized medicine aims to optimize drug efficacy and minimize adverse drug reactions.
  • Individualized pain medicine remains a significant challenge despite technological advancements.

Purpose of the Study:

  • To review the progress and challenges in developing individualized pain medicine.
  • To highlight the importance of integrative genomic analyses for personalized pain treatment.
  • To emphasize the role of environmental factors in conjunction with genetics.

Main Methods:

  • Review of current literature on personalized medicine and pain management.
  • Analysis of genomic data and its application in treatment strategies.
  • Exploration of gene-environment interactions relevant to pain.

Main Results:

  • Significant progress has been made in personalized medicine for various diseases.
  • Individualized pain medicine is not yet fully realized.
  • Complex genomic information needs integration with other factors for clinical application.

Conclusions:

  • Integrative genomic analyses are crucial for advancing individualized pain medicine.
  • Understanding gene-environment interactions is key to translating genomic data into effective pain treatments.
  • Further research is needed to overcome the complexities of personalized pain management.