@article{26f9ec8022214c53b427557879d9c5cb,
title = "Current and future pharmacological agents for the treatment of back pain",
keywords = "Acetaminophen, NSAID, antidepressants, benzodiazepines, gabapentinoids, low back pain, medications, muscle relaxants, opioids, pharmacotherapy",
author = "Anuj Bhatia and Alyson Engle and Cohen, {Steven P.}",
note = "Funding Information: This work was supported in part by the Uniformed Services University, Department of Physical Medicine & Rehabilitation, Musculoskeletal Injury Rehabilitation Research for Operational Readiness (MIRROR) (HU00011920011). Funding Information: One referee declares that he was on the NICE accreditation advisory committee until March 2017 for which they received a fee. They are also an investigator on multiple previous and current research grants from the UK National Institute for Health Research (NIHR), Arthritis Research UK and is a co-investigator on grants funded by the Australian NHMRC. As an NIHR senior investigator, they receive research support from NIHR. They have received travel expenses, and honoraria, for speaking at conferences from the professional organizations hosting the conferences. They are an employee and shareholder of Clinvivo Ltd that provides electronic data collection for health services research. They are part of an academic partnership with Serco Ltd. They have accepted an honorarium from the consortium for advanced research training in Africa. They also provide editorial services for the NIHR journal series and serve as a member of the NIHR Journal editors Group for which they receive a fee. They also are a co-investigator on two studies, funded by the NIHR, that receive support in kind from Stryker Ltd. Peer reviewers on this manuscript have no other relevant financial relationships or otherwise to disclose.",
year = "2020",
month = may,
day = "23",
doi = "10.1080/14656566.2020.1735353",
language = "English (US)",
volume = "21",
pages = "857--861",
journal = "Expert opinion on pharmacotherapy",
issn = "1465-6566",
publisher = "Informa Healthcare",
number = "8",
}