Cited by 114Opioid Use Disorder TreatmentPain Management and Opioid UseAnesthesia and Pain Management

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Trends in opioid prescribing and co-prescribing of sedative hypnotics for acute and chronic musculoskeletal pain: 2001-2010: Trends in Opioid and Sedative Prescribing

Larochelle, Marc R., Zhang, Fang, Ross-Degnan, Dennis, Wharam, J. Frank·2015·Pharmacoepidemiology and Drug Safety

Abstract

PURPOSE: Characterize trends in opioid prescribing and co-prescribing of sedative hypnotics at acute and chronic musculoskeletal pain visits from 2001 to 2010. METHODS: We conducted a repeated cross-sectional analysis of 15 344 visits for acute pain and 19 958 visits for chronic pain in the National Ambulatory Medical Care Survey/National Hospital Ambulatory Medical Care Survey from 2001 to 2010. The primary outcome was receipt of an opioid, and secondary outcomes were co-prescribing of a benzodiazepine or sedative hypnotic (benzodiazepine, muscle relaxant, or insomnia medications). We used multivariable logistic regression to assess temporal trends. RESULTS: Between 2001 and 2010, opioid prescribing at acute and chronic musculoskeletal pain visits increased by 50% (10.4% [95%CI 7.9-12.9%] to 15.6% [95%CI 12.5-18.6%]) and 79% (12.9% [95%CI 9.7-16.0%] to 23.1% [95%CI 18.3-27.9%]), respectively. For chronic pain visits, opioid prescribing plateaued between 2006 and 2010, and spline analysis detected a possible 2007 peak at 28.2% (95%CI 21.4-34.9%) of visits. Benzodiazepines were co-prescribed with opioids at 8.1% (95%CI 6.0-10.1%) of acute pain visits and 15.5% (95%CI 12.8-18.2%) of chronic pain visits. Sedative hypnotics were co-prescribed at 32.7% (95%CI 28.9-36.5%) of acute pain visits and 36.1% (95%CI 32.5-39.8%) of chronic pain visits. We found no evidence for decreased co-prescribing of opioids and sedative hypnotics by any of our measures. CONCLUSIONS: Opioid prescribing for acute and chronic musculoskeletal pain increased from 2001 to 2010, plateauing from 2006 to 2010 for chronic pain visits. Co-prescribing of opioids and sedative hypnotics is common and may represent a target for interventions to improve the safety of opioid prescribing.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/pds.3776

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Previous studies found that coprescribing opioids with benzodiazepines is common.

    “Previous studies found that coprescribing with opioids is common.13,35,36,37”
  • Previous studies did not examine coprescribing with other sedating medications and focused on overlapping prescription periods.

    “Those studies, however, did not examine coprescribing with other sedating medications and focused on overlapping prescriptions periods, which could be the result of prescriptions given to a patient at different times or by different prescribers.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 27

  1. Centers for Disease Control and Prevention (CDC), 2011, Vital signs: overdoses of prescription opioid pain relievers - United States, 1999-2008, MMWR Morb. Mortal. Wkly Rep., 60, 1487
  2. Jones, 2013, Pharmaceutical overdose deaths, United States, 2010, JAMA, 309, 657, 10.1001/jama.2013.272 · DOI
  3. Caudill-Slosberg, 2004, Office visits and analgesic prescriptions for musculoskeletal pain in US: 1980 vs. 2000, Pain, 109, 514, 10.1016/j.pain.2004.03.006 · DOI
  4. Boudreau, 2009, Trends in long-term opioid therapy for chronic non-cancer pain, Pharmacoepidemiol. Drug Saf., 18, 1166, 10.1002/pds.1833 · DOI
  5. Catan, A pain-drug champion has second thoughts, Wall Street Journal
  6. Alexander, 2012, Rethinking opioid prescribing to protect patient safety and public health, JAMA, 308, 1865, 10.1001/jama.2012.14282 · DOI
  7. Von Korff, 2011, Long-term opioid therapy reconsidered, Ann. Intern. Med., 155, 325, 10.7326/0003-4819-155-5-201109060-00011 · DOI
  8. Chou, 2009, Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain, J. Pain, 10, 113, 10.1016/j.jpain.2008.10.008 · DOI · Paper page
  9. Manchikanti, 2012, American society of interventional pain physicians (ASIPP) guidelines for responsible opioid prescribing in chronic non-cancer pain: part 2--guidance, Pain Physician, 15, S67
  10. Rolfs, 2010, Utah Department of Health. Utah clinical guidelines on prescribing opioids for treatment of pain, J. Pain Palliat. Care Pharmacother., 24, 219, 10.3109/15360288.2010.503265 · DOI
  11. Deyo, 2011, Opioids for back pain patients: primary care prescribing patterns and use of services, J. Am. Board Fam. Med., 24, 717, 10.3122/jabfm.2011.06.100232 · DOI
  12. Hermos, 2004, Characterizations of long-term oxycodone/acetaminophen prescriptions in veteran patients, Arch. Intern. Med., 164, 2361, 10.1001/archinte.164.21.2361 · DOI
  13. Pletcher, 2008, Trends in opioid prescribing by race/ethnicity for patients seeking care in US emergency departments, JAMA, 299, 70, 10.1001/jama.2007.64 · DOI
  14. Dunn, 2010, Opioid prescriptions for chronic pain and overdose: a cohort study, Ann. Intern. Med., 152, 85, 10.7326/0003-4819-152-2-201001190-00006 · DOI
  15. Akaike, 1974, A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19, 716, 10.1109/TAC.1974.1100705 · DOI · Paper page
  16. Akaike, 1980, Bayesian statistics, 143
  17. Sullivan, 2008, Trends in use of opioids for non-cancer pain conditions 2000-2005 in commercial and medicaid insurance plans: the TROUP study, Pain, 138, 440, 10.1016/j.pain.2008.04.027 · DOI
  18. Daubresse, 2013, Ambulatory diagnosis and treatment of nonmalignant pain in the United States, 2000-2010, Med. Care, 51, 870, 10.1097/MLR.0b013e3182a95d86 · DOI
  19. Edlund, 2010, Risks for opioid abuse and dependence among recipients of chronic opioid therapy: results from the TROUP study, Drug Alcohol Depend., 112, 90, 10.1016/j.drugalcdep.2010.05.017 · DOI
  20. Edlund, 2007, Risk factors for clinically recognized opioid abuse and dependence among veterans using opioids for chronic non-cancer pain, Pain, 129, 355, 10.1016/j.pain.2007.02.014 · DOI
  21. Boscarino, 2010, Risk factors for drug dependence among out-patients on opioid therapy in a large US health-care system, Addiction, 105, 1776, 10.1111/j.1360-0443.2010.03052.x · DOI
  22. Liebschutz, 2010, Clinical factors associated with prescription drug use disorder in urban primary care patients with chronic pain, J. Pain, 11, 1047, 10.1016/j.jpain.2009.10.012 · DOI
  23. Centers for Disease Control and Prevention (CDC), 2009, Overdose deaths involving prescription opioids among medicaid enrollees - Washington, 2004-2007, MMWR Morb. Mortal. Wkly Rep., 58, 1171
  24. Weich, 2014, Effect of anxiolytic and hypnotic drug prescriptions on mortality hazards: retrospective cohort study, BMJ, 348, 10.1136/bmj.g1996 · DOI · Paper page
  25. Garcia, 2013, State laws regulating prescribing of controlled substances: balancing the public health problems of chronic pain and prescription painkiller abuse and overdose, J. Law Med. Ethics, 41, 42, 10.1111/jlme.12037 · DOI
  26. Daubresse, 2014, Impact of a drug utilization review program on high-risk use of prescription controlled substances, Pharmacoepidemiol. Drug Saf., 23, 419, 10.1002/pds.3487 · DOI
  27. Gonzalez, 2012, Impact of a managed controlled-opioid prescription monitoring program on care coordination, Am. J. Manag. Care, 18, 516

Cited by

Sorted by citations

Metadata

Authors
Larochelle, M. R., Zhang, F., Ross-Degnan, D., & Wharam, J. F.
Affiliations
  • Boston University (US)
  • Harvard University (US)
  • Department of Population Medicine; Harvard Medical School and Harvard Pilgrim Health Care Institute; Boston MA USA
Corresponding author
Larochelle, Marc R.
Venue
Pharmacoepidemiology and Drug Safety
Publisher
Wiley
Published
2015-04-22
Volume
24
Issue
8
Pages
885-892
ISSN
1053-8569 (ISSN-L)
OpenAlex
W1928905073
Cited by
114
References
1
Citations by year
2026: 2 · 2025: 6 · 2024: 12 · 2023: 6 · 2022: 8 · 2021: 13 · 2020: 15 · 2019: 21 · 2018: 8 · 2017: 12 · 2016: 9 · 2015: 2
FWCI
11.08
Type
journal article
Language
en
Open access
closed
Locations
  • Pharmacoepidemiology and Drug Safety (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • HRSA (T32 HP10251, T32 HP12706)
  • Ryoichi Sasakawa, Fellowship Fund
  • Harvard Pilgrim Health Care Institute
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Pain Management
Keywords
opioid prescribing, sedative-hypnotic drugs, benzodiazepines, co-prescribing, musculoskeletal pain, acute pain, chronic pain, temporal trends, outpatient visits, muscle relaxants, insomnia medication, prescription drug use, pain management strategies, National Ambulatory Medical Care Survey, National Hospital Ambulatory Medical Care Survey, opioid epidemic
MeSH terms
Adolescent, Adult, Aged, Analgesics, Opioid, Cross-Sectional Studies, Drug Therapy, Combination, Female, Humans, Hypnotics and Sedatives, Male, Middle Aged, Practice Patterns, Physicians', Drug Prescriptions, Risk Factors, Time Factors, United States, Multivariate Analysis, Logistic Models, Databases, Factual, Drug Utilization Review, Pharmacoepidemiology, Young Adult, Chronic Pain, Musculoskeletal Pain, Acute Pain

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review