Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Opioid Analgesics: Morphine and Other Natural Cogeners01:20

Opioid Analgesics: Morphine and Other Natural Cogeners

1.3K
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...
1.3K
Opioid Analgesics: Synthetic and Semisynthetic Opioids01:15

Opioid Analgesics: Synthetic and Semisynthetic Opioids

1.3K
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...
1.3K
Toxidromes: Clinical Features01:30

Toxidromes: Clinical Features

56
Toxidromes are specific patterns of symptoms resulting from toxic substance exposure. They help in the identification and treatment of poisoning. The symptoms of each toxidrome group indicate poisoning by a certain class of chemicals or drugs.1. Sympathomimetic: Stimulates the sympathetic nervous system. Symptoms include agitation, increased heart rate (HR), blood pressure (BP), respiratory rate (RR), temperature, and pupil size. Drugs like cocaine and amphetamines, along with tremors and...
56
Opioid Receptors: Overview01:22

Opioid Receptors: Overview

5.7K
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,...
5.7K
Analgesia and Pain Management01:25

Analgesia and Pain Management

2.5K
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...
2.5K
Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

66
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
66

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparing Area-level Patient Density and Physician Prescribing Preference Instruments for the Effect of Antidiabetics on Adverse Cardiovascular Events Among Medicare Beneficiaries.

Epidemiology (Cambridge, Mass.)·2025
Same author

Hybrid BAG-seq: DNA and RNA from the same single nucleus reveals interactions between genomic and transcriptomic landscapes in human tumor samples.

Genome biology·2025
Same author

Effectiveness over time of a primary series of the original monovalent COVID-19 vaccines in adults in the United States.

PloS one·2025
Same author

Geospatial distribution of the adoption of dipeptidyl-peptidase-4 inhibitors for type 2 diabetes among Medicare beneficiaries.

Spatial and spatio-temporal epidemiology·2025
Same author

Exploring genome-transcriptome correlations in cancer.

Biochemical Society transactions·2025
Same author

Myocarditis in Patients Starting Combination Checkpoint Inhibitor Therapy: Analysis of a Commercial Claims Database.

Journal of the American Heart Association·2024

Related Experiment Video

Updated: Mar 8, 2026

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs
10:13

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs

Published on: November 8, 2024

2.9K

Possible Opioid Shopping and its Correlates.

Alexander M Walker1, Lisa B Weatherby, M Soledad Cepeda

  • 1*WHISCON, Newton, MA †Janssen Research and Development, Titusville, NJ ‡IMS Health, Plymouth Meeting, PA.

The Clinical Journal of Pain
|February 2, 2017
PubMed
Summary

Opioid shopping, defined as obtaining medications from multiple prescribers and pharmacies, was identified using insurance claims. This behavior is linked to specific patient and prescription characteristics, aiding in detection.

More Related Videos

Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence
09:54

Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence

Published on: March 8, 2020

5.7K
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

3.4K

Related Experiment Videos

Last Updated: Mar 8, 2026

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs
10:13

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs

Published on: November 8, 2024

2.9K
Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence
09:54

Combining Laser Capture Microdissection and Microfluidic qPCR to Analyze Transcriptional Profiles of Single Cells: A Systems Biology Approach to Opioid Dependence

Published on: March 8, 2020

5.7K
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

3.4K

Area of Science:

  • Health Services Research
  • Pharmacoepidemiology
  • Health Informatics

Background:

  • Opioid shopping, or obtaining prescription opioids from multiple sources, poses a significant public health concern.
  • Developing accurate methods to identify opioid shopping in large datasets is crucial for intervention and prevention.

Purpose of the Study:

  • To establish an operational definition for identifying possible opioid shopping within US commercial health insurance claims data.
  • To examine the correlates and predictors of potential opioid shopping behavior.

Main Methods:

  • A cohort of 264,204 treatment courses was analyzed, comparing opioid and diuretic prescriptions over 18 months.
  • Key metrics included counts of prescribers, pharmacies, prescription fills, and medication overlaps.
  • Logistic regression assessed associations between insurance claims data and identified shopping behavior.

Main Results:

  • A definition of possible "moderate" or "extensive" opioid shopping (≥3 prescribers and ≥3 pharmacies over 18 months) effectively discriminated opioid from diuretic treatments.
  • Insurance claims data strongly predicted shopping behavior (c=0.82).
  • Significant predictors included state of residence, opioid dosage, self-payment, non-specialist prescribers, and concurrent use of anxiolytics, hypnotics, psychostimulants, and antipsychotics.

Conclusions:

  • The operational definition of opioid shopping using prescriber and pharmacy counts proved highly effective in distinguishing opioid treatment courses.
  • Identified shopping patterns were associated with specific prescribing practices (non-specialist, self-paid) and medication profiles (high MME, concurrent psychiatric medications).
  • These findings support the use of insurance claims data for detecting and understanding opioid shopping behaviors.