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Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance

According to studies, drugs based on their Pharmaco-dynamics and pharmacokinetics can affect driving performance. There are clear conclusions about some medications and in other drugs have not yet reached definitive conclusions. There are two international experiences regarding the classification of...

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Autores principales: Farahbakhsh, Mostafa, Pourasghar, Faramarz, Sadeghi Bazargani, Homayoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kermanshah University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187094/
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author Farahbakhsh, Mostafa
Pourasghar, Faramarz
Sadeghi Bazargani, Homayoun
author_facet Farahbakhsh, Mostafa
Pourasghar, Faramarz
Sadeghi Bazargani, Homayoun
author_sort Farahbakhsh, Mostafa
collection PubMed
description According to studies, drugs based on their Pharmaco-dynamics and pharmacokinetics can affect driving performance. There are clear conclusions about some medications and in other drugs have not yet reached definitive conclusions. There are two international experiences regarding the classification of drugs based on their impact on driving performance. These projects are DRUID (Driving Under the Influence of Drugs and medicines) and ICADTS projects. This study conducted to classify Iranian pharmacopeia according to drugs effects on driving performance. The projects divided the drugs used in the treatment of diseases into three categories in terms of traffic safety. The project first identified and explored similar experiences in the world by reviewing scientific resources. For the medicines that their effects were determined in the existing classifications, their impact category were extracted from DRUID and ICADTS systems. For drugs that have different categories in two systems or unidentified their effects on these classifications, Drug side effects, especially in areas of attention, cognition, sleep, vital signs were extracted from pharmacology and other related textbooks. With using appropriate keywords, the studies and evidences about these drugs effects on driving were assessed. At an expert meeting, with review of side effects and scientific evidences, the impact of these drugs on driving performance was determined. Finally, the effect of drugs on driving performance was classified into three groups with no or minimal, moderate and severe effects. Based on these classification results, a mobile application was designed and prepared for ordinary people. In this application, for any drug their effect category, side effects and prevention strategies were explained. KEYWORDS: Drugs, Driving, Traffic Safety, Driving Behavior
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spelling pubmed-71870942020-05-01 Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance Farahbakhsh, Mostafa Pourasghar, Faramarz Sadeghi Bazargani, Homayoun J Inj Violence Res Key Lectures According to studies, drugs based on their Pharmaco-dynamics and pharmacokinetics can affect driving performance. There are clear conclusions about some medications and in other drugs have not yet reached definitive conclusions. There are two international experiences regarding the classification of drugs based on their impact on driving performance. These projects are DRUID (Driving Under the Influence of Drugs and medicines) and ICADTS projects. This study conducted to classify Iranian pharmacopeia according to drugs effects on driving performance. The projects divided the drugs used in the treatment of diseases into three categories in terms of traffic safety. The project first identified and explored similar experiences in the world by reviewing scientific resources. For the medicines that their effects were determined in the existing classifications, their impact category were extracted from DRUID and ICADTS systems. For drugs that have different categories in two systems or unidentified their effects on these classifications, Drug side effects, especially in areas of attention, cognition, sleep, vital signs were extracted from pharmacology and other related textbooks. With using appropriate keywords, the studies and evidences about these drugs effects on driving were assessed. At an expert meeting, with review of side effects and scientific evidences, the impact of these drugs on driving performance was determined. Finally, the effect of drugs on driving performance was classified into three groups with no or minimal, moderate and severe effects. Based on these classification results, a mobile application was designed and prepared for ordinary people. In this application, for any drug their effect category, side effects and prevention strategies were explained. KEYWORDS: Drugs, Driving, Traffic Safety, Driving Behavior Kermanshah University of Medical Sciences 2019-08 /pmc/articles/PMC7187094/ Text en Copyright © 2019, KUMS http://creativecommons.org/licenses/by/3/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Key Lectures
Farahbakhsh, Mostafa
Pourasghar, Faramarz
Sadeghi Bazargani, Homayoun
Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance
title Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance
title_full Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance
title_fullStr Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance
title_full_unstemmed Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance
title_short Classification of Drugs Listed in Iranian Pharmacopoeia Based on Impact on Driving Performance
title_sort classification of drugs listed in iranian pharmacopoeia based on impact on driving performance
topic Key Lectures
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187094/
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