Literature DB >> 33123783

Historical Evolution and Provider Awareness of Inactive Ingredients in Oral Medications.

Daniel Reker1,2,3,4, Steven M Blum1,5,6,7, Peter Wade1, Christoph Steiger1,3,4, Giovanni Traverso8,9,10,11.   

Abstract

PURPOSE: A multitude of different versions of the same medication with different inactive ingredients are currently available. It has not been quantified how this has evolved historically. Furthermore, it is unknown whether healthcare professionals consider the inactive ingredient portion when prescribing medications to patients.
METHODS: We used data mining to track the number of available formulations for the same medication over time and correlate the number of available versions in 2019 to the number of manufacturers, the years since first approval, and the number of prescriptions. A focused survey among healthcare professionals was conducted to query their consideration of the inactive ingredient portion of a medication when writing prescriptions.
RESULTS: The number of available versions of a single medication have dramatically increased in the last 40 years. The number of available, different versions of medications are largely determined by the number of manufacturers producing this medication. Healthcare providers commonly do not consider the inactive ingredient portion when prescribing a medication.
CONCLUSIONS: A multitude of available versions of the same medications provides a potentially under-recognized opportunity to prescribe the most suitable formulation to a patient as a step towards personalized medicine and mitigate potential adverse events from inactive ingredients.

Entities:  

Keywords:  dosage forms; excipients; oral solid; pharmacometrics

Mesh:

Substances:

Year:  2020        PMID: 33123783      PMCID: PMC8212167          DOI: 10.1007/s11095-020-02953-2

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  13 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Lactose intolerance associated with Intal capsules.

Authors:  R D Brandstetter; R Conetta; B Glazer
Journal:  N Engl J Med       Date:  1986-12-18       Impact factor: 91.245

Review 3.  Use of the low-FODMAP diet in inflammatory bowel disease.

Authors:  Peter R Gibson
Journal:  J Gastroenterol Hepatol       Date:  2017-03       Impact factor: 4.029

Review 4.  An Overview of Pharmaceutical Excipients: Safe or Not Safe?

Authors:  Cátia G Abrantes; Dinah Duarte; Catarina P Reis
Journal:  J Pharm Sci       Date:  2016-06-01       Impact factor: 3.534

5.  The activities of drug inactive ingredients on biological targets.

Authors:  Joshua Pottel; Duncan Armstrong; Ling Zou; Alexander Fekete; Xi-Ping Huang; Hayarpi Torosyan; Dallas Bednarczyk; Steven Whitebread; Barun Bhhatarai; Guiqing Liang; Hong Jin; S Nassir Ghaemi; Samuel Slocum; Katalin V Lukacs; John J Irwin; Ellen L Berg; Kathleen M Giacomini; Bryan L Roth; Brian K Shoichet; Laszlo Urban
Journal:  Science       Date:  2020-07-24       Impact factor: 47.728

Review 6.  "Inactive" ingredients in oral medications.

Authors:  Daniel Reker; Steven M Blum; Christoph Steiger; Kevin E Anger; Jamie M Sommer; John Fanikos; Giovanni Traverso
Journal:  Sci Transl Med       Date:  2019-03-13       Impact factor: 17.956

7.  Excipient choices for special populations.

Authors:  Karen M Nagel-Edwards; James Y Ko
Journal:  Int J Pharm Compd       Date:  2008 Sep-Oct

Review 8.  Potential food allergens in medications.

Authors:  John M Kelso
Journal:  J Allergy Clin Immunol       Date:  2014-06       Impact factor: 10.793

9.  DrugBank 5.0: a major update to the DrugBank database for 2018.

Authors:  David S Wishart; Yannick D Feunang; An C Guo; Elvis J Lo; Ana Marcu; Jason R Grant; Tanvir Sajed; Daniel Johnson; Carin Li; Zinat Sayeeda; Nazanin Assempour; Ithayavani Iynkkaran; Yifeng Liu; Adam Maciejewski; Nicola Gale; Alex Wilson; Lucy Chin; Ryan Cummings; Diana Le; Allison Pon; Craig Knox; Michael Wilson
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

10.  Machine Learning Uncovers Food- and Excipient-Drug Interactions.

Authors:  Daniel Reker; Yunhua Shi; Ameya R Kirtane; Kaitlyn Hess; Grace J Zhong; Evan Crane; Chih-Hsin Lin; Robert Langer; Giovanni Traverso
Journal:  Cell Rep       Date:  2020-03-17       Impact factor: 9.423

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