Background: The FDA's Adverse Event Reporting System, or FAERS, provides data on adverse events and medication error reports sent to the agency through the MedWatch programme. A high percentage of adverse events reported in the FAERS database have been connected to opioid use. The goal of this study was to determine the frequency counts of opioid medication names in the FAERS database, as well as the deaths associated with them.
The DRUG and OUTCOME files in the database were used to collect drug information. Among the narcotics detected were morphine, fentanyl, oxycodone, hydrocodone, tramadol, hydromorphone, methadone, codeine, oxymorphone, meperidine, propoxyphene, diphenoxylate, and heroin. The frequency counts and mortality of opioid drug names were calculated using the MySQL database management system.
Results: The FAERS database linked fifteen distinct opioid medicines to ADEs, including death, with three drugs (oxycodone, hydrocodone, and fentanyl) accounting for more than half of the reports. The highest oxycodone frequency count was 158,181, accounting for almost 20.2 percent of all opioid frequency counts. With a frequency count of 2,161, dextromethorphan was the least common, accounting for about 0.3 percent of the total. Heroin (71.8%) had the largest proportion of deaths due to drug overdose, followed by dextromethorphan (55.6%), methadone (37.2%), morphine (26.7%), and propoxyphene (26.7%). (23.7 percent ).
Conclusion: The FAERS database is a valuable tool for recognising and reporting Adverse Drug Events (ADEs), especially those involving opioids and related medications. Estimating the true incidence of ADEs in the general population for this class of medications is difficult.Author(S) Details
Michael A. Veronin
The University of Texas at Tyler Ben and Maytee Fisch College of Pharmacy, USA.
Robert P. Schumaker
The University of Texas at Tyler Soules, College of Business Department of Computer Science, USA.
Rohit R. Dixit
Siemens Healthineers, USA.
Harshini Elath
7-Eleven Corporation, USA.
View Book:- https://stm.bookpi.org/CAPRD-V8/article/view/5645
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