Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic

Michael A Veronin,1 Robert P Schumaker,2 Rohit R Dixit,2 Harshini Elath21Social and Administrative Sciences, Department of Pharmaceutical Sciences, University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, Tyler, TX 75799, USA; 2Department of Computer Science, College of Business and T...

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Main Authors: Veronin MA, Schumaker RP, Dixit RR, Elath H
Format: Article
Language:English
Published: Dove Medical Press 2019-08-01
Series:Drug, Healthcare and Patient Safety
Subjects:
Online Access:https://www.dovepress.com/opioids-and-frequency-counts-in-the-us-food-and-drug-administration-ad-peer-reviewed-article-DHPS
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spelling doaj-d8a347b667c646c29baba9e110db63fd2020-11-25T00:40:42ZengDove Medical PressDrug, Healthcare and Patient Safety1179-13652019-08-01Volume 11657047931Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemicVeronin MASchumaker RPDixit RRElath HMichael A Veronin,1 Robert P Schumaker,2 Rohit R Dixit,2 Harshini Elath21Social and Administrative Sciences, Department of Pharmaceutical Sciences, University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, Tyler, TX 75799, USA; 2Department of Computer Science, College of Business and Technology, University of Texas at Tyler, Tyler, TX 75799, USACorrespondence: Michael A VeroninSocial and Administrative Sciences, Department of Pharmaceutical Sciences, University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, 3900 University Blvd., Tyler, Texas 75799, USATel +1 903 566 6148Fax +1 903 565 5598Email mveronin@uttyler.eduBackground: The U.S. Food and Drug Administration Adverse Event Reporting System (FAERS), contains information on adverse drug events and medication error reports submitted to the FDA through the MedWatch program. A significant number of adverse events reported in the FAERS database have been for opioid use. The objective of this study was to determine the frequency counts and associated deaths of opioid drug names in the FAERS database.Methods: Drug data were obtained from the DRUG and OUTCOME files in the database. Drugs identified included: morphine, fentanyl, oxycodone, hydrocodone, tramadol, hydromorphone, methadone, codeine, oxymorphone, meperidine, propoxyphene, diphenoxylate, and heroin. Frequency counts and concomitant deaths of opioid drug names were determined via the MySQL database management system.Results: Fifteen different opioid drugs identified in the FAERS database were associated with ADEs, including death, and 3 drugs (oxycodone, hydrocodone, fentanyl) accounted for more than half of the reports. The highest frequency count value was 158,181 for oxycodone, which represents approximately 20.2% of the frequency counts for the opioids. The lowest frequency count value was 2,161 for dextromethorphan, which represents approximately 0.3% of the total. The opioid with the highest proportion of deaths to drug count was heroin (71.8%), followed by dextromethorphan (55.6%), methadone (37.2%), morphine (26.8%), and propoxyphene (23.7%).Conclusion: The FAERS database represents an important source for detection and reporting of adverse drug events (ADEs), in particular the opioids and related drugs. It remains a challenge to estimate the true incidence of ADEs for this class of drugs in the general population.Keywords: adverse drug event, Food and Drug Administration, opioid, frequency count, FAERS databasehttps://www.dovepress.com/opioids-and-frequency-counts-in-the-us-food-and-drug-administration-ad-peer-reviewed-article-DHPSAdverse Drug Event (ADE)Food and Drug Administration (FDA)opioidfrequency countFAERS database
collection DOAJ
language English
format Article
sources DOAJ
author Veronin MA
Schumaker RP
Dixit RR
Elath H
spellingShingle Veronin MA
Schumaker RP
Dixit RR
Elath H
Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic
Drug, Healthcare and Patient Safety
Adverse Drug Event (ADE)
Food and Drug Administration (FDA)
opioid
frequency count
FAERS database
author_facet Veronin MA
Schumaker RP
Dixit RR
Elath H
author_sort Veronin MA
title Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic
title_short Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic
title_full Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic
title_fullStr Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic
title_full_unstemmed Opioids and frequency counts in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database: a quantitative view of the epidemic
title_sort opioids and frequency counts in the us food and drug administration adverse event reporting system (faers) database: a quantitative view of the epidemic
publisher Dove Medical Press
series Drug, Healthcare and Patient Safety
issn 1179-1365
publishDate 2019-08-01
description Michael A Veronin,1 Robert P Schumaker,2 Rohit R Dixit,2 Harshini Elath21Social and Administrative Sciences, Department of Pharmaceutical Sciences, University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, Tyler, TX 75799, USA; 2Department of Computer Science, College of Business and Technology, University of Texas at Tyler, Tyler, TX 75799, USACorrespondence: Michael A VeroninSocial and Administrative Sciences, Department of Pharmaceutical Sciences, University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, 3900 University Blvd., Tyler, Texas 75799, USATel +1 903 566 6148Fax +1 903 565 5598Email mveronin@uttyler.eduBackground: The U.S. Food and Drug Administration Adverse Event Reporting System (FAERS), contains information on adverse drug events and medication error reports submitted to the FDA through the MedWatch program. A significant number of adverse events reported in the FAERS database have been for opioid use. The objective of this study was to determine the frequency counts and associated deaths of opioid drug names in the FAERS database.Methods: Drug data were obtained from the DRUG and OUTCOME files in the database. Drugs identified included: morphine, fentanyl, oxycodone, hydrocodone, tramadol, hydromorphone, methadone, codeine, oxymorphone, meperidine, propoxyphene, diphenoxylate, and heroin. Frequency counts and concomitant deaths of opioid drug names were determined via the MySQL database management system.Results: Fifteen different opioid drugs identified in the FAERS database were associated with ADEs, including death, and 3 drugs (oxycodone, hydrocodone, fentanyl) accounted for more than half of the reports. The highest frequency count value was 158,181 for oxycodone, which represents approximately 20.2% of the frequency counts for the opioids. The lowest frequency count value was 2,161 for dextromethorphan, which represents approximately 0.3% of the total. The opioid with the highest proportion of deaths to drug count was heroin (71.8%), followed by dextromethorphan (55.6%), methadone (37.2%), morphine (26.8%), and propoxyphene (23.7%).Conclusion: The FAERS database represents an important source for detection and reporting of adverse drug events (ADEs), in particular the opioids and related drugs. It remains a challenge to estimate the true incidence of ADEs for this class of drugs in the general population.Keywords: adverse drug event, Food and Drug Administration, opioid, frequency count, FAERS database
topic Adverse Drug Event (ADE)
Food and Drug Administration (FDA)
opioid
frequency count
FAERS database
url https://www.dovepress.com/opioids-and-frequency-counts-in-the-us-food-and-drug-administration-ad-peer-reviewed-article-DHPS
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