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A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases

Stefania Chiappini Orcid Logo, Rachel Vickers-Smith Orcid Logo, Amira Guirguis Orcid Logo, John Martin Corkery Orcid Logo, Giovanni Martinotti Orcid Logo, Fabrizio Schifano

Pharmaceuticals, Volume: 15, Issue: 5, Start page: 565

Swansea University Author: Amira Guirguis Orcid Logo

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DOI (Published version): 10.3390/ph15050565

Abstract

Despite increasing reports, antidepressant (AD) misuse and dependence remain underestimated issues, possibly due to limited epidemiological and pharmacovigilance evidence. Thus, here we aimed to determine available pharmacovigilance misuse/abuse/dependence/withdrawal signals relating to the Selectiv...

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Published in: Pharmaceuticals
ISSN: 1424-8247
Published: MDPI AG 2022
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spelling 2022-05-03T16:27:48.4202692 v2 59932 2022-04-29 A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases b49270b9a0d580cf4f31f9a1b6c93f87 0000-0001-8255-0660 Amira Guirguis Amira Guirguis true false 2022-04-29 PHAR Despite increasing reports, antidepressant (AD) misuse and dependence remain underestimated issues, possibly due to limited epidemiological and pharmacovigilance evidence. Thus, here we aimed to determine available pharmacovigilance misuse/abuse/dependence/withdrawal signals relating to the Selective Serotonin Reuptake Inhibitors (SSRI) citalopram, escitalopram, paroxetine, fluoxetine, and sertraline. Both EudraVigilance (EV) and Food and Drug Administration-FDA Adverse Events Reporting System (FAERS) datasets were analysed to identify AD misuse/abuse/dependence/withdrawal issues. A descriptive analysis was performed; moreover, pharmacovigilance measures, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the information component (IC), and the empirical Bayesian geometric mean (EBGM) were calculated. Both datasets showed increasing trends of yearly reporting and similar signals regarding abuse and dependence. From the EV, a total of 5335 individual ADR reports were analysed, of which 30% corresponded to paroxetine (n = 1,592), 27% citalopram (n = 1,419), 22% sertraline (n = 1,149), 14% fluoxetine (n = 771), and 8% escitalopram (n = 404). From FAERS, a total of 144,395 individual ADR reports were analysed, of which 27% were related to paroxetine, 27% sertraline, 18% citalopram, 16% fluoxetine, and 13% escitalopram. Comparing SSRIs, the EV misuse/abuse-related ADRs were mostly recorded for citalopram, fluoxetine, and sertraline; conversely, dependence was mostly associated with paroxetine, and withdrawal to escitalopram. Similarly, in the FAERS dataset, dependence/withdrawal-related signals were more frequently reported for paroxetine. Although SSRIs are considered non-addictive pharmacological agents, a range of proper withdrawal symptoms can occur well after discontinuation, especially with paroxetine. Prescribers should be aware of the potential for dependence and withdrawal associated with SSRIs. Journal Article Pharmaceuticals 15 5 565 MDPI AG 1424-8247 antidepressants; selective serotonin reuptake inhibitor (SSRI); withdrawal; prescription drug abuse; drug misuse; pharmacovigilance 1 5 2022 2022-05-01 10.3390/ph15050565 COLLEGE NANME Pharmacy COLLEGE CODE PHAR Swansea University 2022-05-03T16:27:48.4202692 2022-04-29T23:01:56.6022813 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Stefania Chiappini 0000-0002-6810-1540 1 Rachel Vickers-Smith 0000-0002-7224-8916 2 Amira Guirguis 0000-0001-8255-0660 3 John Martin Corkery 0000-0002-3849-817x 4 Giovanni Martinotti 0000-0002-7292-2341 5 Fabrizio Schifano 6 59932__23973__9f799ecb8d8947be812c95469b93995f.pdf 59932.pdf 2022-05-03T16:25:59.8213756 Output 579005 application/pdf Version of Record true © 2022 by the authors.This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. true eng https://cre-ativecommons.org/licenses/by/4.0/
title A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
spellingShingle A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
Amira Guirguis
title_short A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
title_full A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
title_fullStr A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
title_full_unstemmed A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
title_sort A Focus on Abuse/Misuse and Withdrawal Issues with Selective Serotonin Reuptake Inhibitors (SSRIs): Analysis of Both the European EMA and the US FAERS Pharmacovigilance Databases
author_id_str_mv b49270b9a0d580cf4f31f9a1b6c93f87
author_id_fullname_str_mv b49270b9a0d580cf4f31f9a1b6c93f87_***_Amira Guirguis
author Amira Guirguis
author2 Stefania Chiappini
Rachel Vickers-Smith
Amira Guirguis
John Martin Corkery
Giovanni Martinotti
Fabrizio Schifano
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container_issue 5
container_start_page 565
publishDate 2022
institution Swansea University
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hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description Despite increasing reports, antidepressant (AD) misuse and dependence remain underestimated issues, possibly due to limited epidemiological and pharmacovigilance evidence. Thus, here we aimed to determine available pharmacovigilance misuse/abuse/dependence/withdrawal signals relating to the Selective Serotonin Reuptake Inhibitors (SSRI) citalopram, escitalopram, paroxetine, fluoxetine, and sertraline. Both EudraVigilance (EV) and Food and Drug Administration-FDA Adverse Events Reporting System (FAERS) datasets were analysed to identify AD misuse/abuse/dependence/withdrawal issues. A descriptive analysis was performed; moreover, pharmacovigilance measures, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the information component (IC), and the empirical Bayesian geometric mean (EBGM) were calculated. Both datasets showed increasing trends of yearly reporting and similar signals regarding abuse and dependence. From the EV, a total of 5335 individual ADR reports were analysed, of which 30% corresponded to paroxetine (n = 1,592), 27% citalopram (n = 1,419), 22% sertraline (n = 1,149), 14% fluoxetine (n = 771), and 8% escitalopram (n = 404). From FAERS, a total of 144,395 individual ADR reports were analysed, of which 27% were related to paroxetine, 27% sertraline, 18% citalopram, 16% fluoxetine, and 13% escitalopram. Comparing SSRIs, the EV misuse/abuse-related ADRs were mostly recorded for citalopram, fluoxetine, and sertraline; conversely, dependence was mostly associated with paroxetine, and withdrawal to escitalopram. Similarly, in the FAERS dataset, dependence/withdrawal-related signals were more frequently reported for paroxetine. Although SSRIs are considered non-addictive pharmacological agents, a range of proper withdrawal symptoms can occur well after discontinuation, especially with paroxetine. Prescribers should be aware of the potential for dependence and withdrawal associated with SSRIs.
published_date 2022-05-01T04:17:37Z
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