Evidence map›Paper›PMID 35620246›Full record

ArticlePain reports

Temporal trend of opioid and nonopioid pain medications: results from a national in-home survey, 2001 to 2018.

Yun Wang, Dan Wu, Alexandre Chan, Chih-Hung Chang, Vivian W Y Lee, Michael B Nichol

Abstract read
In one paragraph

Article in Pain reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Pain and Prose: Tracing the Opioid Epidemic in Stephen King's Novels.Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yun WangDepartment of Pharmaceutical Economics and Policy, School of Pharmacy, Chapman University, Irvine, CA, USA.
Dan WuDepartment of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Alexandre ChanDepartment of Clinical Pharmacy Practice, School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA.
Chih-Hung ChangProgram in Occupational Therapy, Department of Medicine, and Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Vivian W Y LeeCentre for Learning Enhancement and Research, The Chinese University of Hong Kong, Hong Kong, China.
Michael B NicholSol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The opioid epidemic persists in the United States. The use of opioid medications is often assessed by claims data but potentially underestimated. Objectives: We evaluated the temporal trend in the use of opioid and nonopioid pain medications from a national survey. Methods: Using data from the 2001 to 2018 National Health and Nutrition Examination Survey (NHANES), we examined the current use of prescription analgesics in the past 30 days among 50,201 respondents aged 20 years or older. Joinpoint regressions were used to test statistically meaningful trends of opioid vs nonopioid analgesics. Results: The mean percentage of people who had pain medications in the past 30 days was 6.4% (5.3%-7.1%) for opioid and 11.3% (9.0%-14.8%) for nonopioid analgesics. The availability of opioid and nonopioid prescriptions at home has remained stable, except for the slight decline of opioids among cancer-free patients in 2005 to 2018. The most frequently used opioid analgesic medications included hydrocodone/acetaminophen, tramadol, and hydrocodone. Conclusion: We uniquely measured the proportion of people who had opioid and nonopioid pain medications at home in the United States and supplemented the previous knowledge of prescription rates mainly obtained from claims data.

Indexed as

AnalgesicsOpioidPrescription pain reliever

Identifiers

PMID35620246
PMCPMC9116944

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.