Literature DB >> 24219048

Economic implications of potential drug-drug interactions in chronic pain patients.

Robert Taylor1, Joseph V Pergolizzi, R Amy Puenpatom, Kent H Summers.   

Abstract

Chronic pain patients may be subject to polypharmacy because of long-term pharmacological pain treatment and additional comorbidities. Many chronic pain patients expose themselves to potential drug-drug interactions (DDIs) and these interactions can have unintended and severe consequences. Prevalence and costs associated with DDIs are inconsistent and has led to an inadequate level of awareness among the medical community; therefore, it has become necessary to re-evaluate the rates of DDIs in chronic pain patients. Utilizing medical and prescription claims databases, five studies were conducted to assess the health care utilization of and associated financial payments for patients >18 years with chronic noncancer pain. The studies evaluated drug-drug exposures with the potential to cause DDIs specifically occurring through the CYP450 enzyme system. The studies reported that drug-drug exposures are prevalent, costly and can occur in any age group and that physicians should consider ways to limit their patients' exposure to potential DDIs.

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Year:  2013        PMID: 24219048     DOI: 10.1586/14737167.2013.851006

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  9 in total

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Authors:  Aleksandra Zgierska; Margaret L Wallace; Cindy A Burzinski; Jennifer Cox; Miroslav Backonja
Journal:  J Opioid Manag       Date:  2014 Sep-Oct

2.  Whole-body photobiomodulation therapy for chronic pain: a protocol for a feasibility trial.

Authors:  Bethany Fitzmaurice; Nicola R Heneghan; Asius Rayen; Andrew Soundy
Journal:  BMJ Open       Date:  2022-06-29       Impact factor: 3.006

3.  Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury.

Authors:  Charles E Leonard; Colleen M Brensinger; Thanh Phuong Pham Nguyen; John R Horn; Sophie Chung; Warren B Bilker; Sascha Dublin; Samantha E Soprano; Ghadeer K Dawwas; David W Oslin; Douglas J Wiebe; Sean Hennessy
Journal:  Biomed Pharmacother       Date:  2020-07-30       Impact factor: 6.529

4.  Using a machine learning approach to investigate factors associated with treatment-resistant depression among adults with chronic non-cancer pain conditions and major depressive disorder.

Authors:  Drishti Shah; Wanhong Zheng; Lindsay Allen; Wenhui Wei; Traci LeMasters; Suresh Madhavan; Usha Sambamoorthi
Journal:  Curr Med Res Opin       Date:  2021-03-24       Impact factor: 2.580

Review 5.  Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS).

Authors:  Ben Yb Kim; Anis Sharafoddini; Nam Tran; Emily Y Wen; Joon Lee
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-28       Impact factor: 4.773

6.  Prediction of potential drug interactions between repurposed COVID-19 and antitubercular drugs: an integrational approach of drug information software and computational techniques data.

Authors:  Levin Thomas; Sumit Raosaheb Birangal; Rajdeep Ray; Sonal Sekhar Miraj; Murali Munisamy; Muralidhar Varma; Chidananda Sanju S V; Mithu Banerjee; Gautham G Shenoy; Mahadev Rao
Journal:  Ther Adv Drug Saf       Date:  2021-08-26

7.  Quality of life in patients with fibromyalgia: Contributions of disease symptoms, lifestyle and multi-medication.

Authors:  Fátima Fernandez-Feijoo; Noelia Samartin-Veiga; María Teresa Carrillo-de-la-Peña
Journal:  Front Psychol       Date:  2022-10-03

8.  Adverse Effects of Antidepressants for Chronic Pain: A Systematic Review and Meta-analysis.

Authors:  Carina Riediger; Tibor Schuster; Kristian Barlinn; Sarah Maier; Jürgen Weitz; Timo Siepmann
Journal:  Front Neurol       Date:  2017-07-14       Impact factor: 4.003

9.  Clinical Utility of Definitive Drug⁻Drug Interaction Testing in Primary Care.

Authors:  John Peabody; Mary Tran; David Paculdo; Joshua Schrecker; Czarlota Valdenor; Elaine Jeter
Journal:  J Clin Med       Date:  2018-10-25       Impact factor: 4.241

  9 in total

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