Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Trends in pediatric prescription-opioid overdoses in U.S. emergency departments from 2008–2020: An epidemiologic study of pediatric opioid overdose ED visits

  • Audrey Lu,

    Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

    Affiliation The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Pediatric Trauma Research, Columbus, OH, United States of America

  • Megan Armstrong,

    Roles Conceptualization, Investigation, Methodology, Project administration, Visualization, Writing – review & editing

    Affiliations The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Pediatric Trauma Research, Columbus, OH, United States of America, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Injury Research and Policy, Columbus, OH, United States of America

  • Robin Alexander,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – review & editing

    Affiliation Biostatistics Resource at Nationwide Children’s Hospital (BRANCH), The Ohio State University, Columbus, OH, United States of America

  • Eurella Vest,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliations The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Pediatric Trauma Research, Columbus, OH, United States of America, Ohio University Heritage College of Osteopathic Medicine, Dublin Campus, Dublin, OH, United States of America

  • Jonathan Chang,

    Roles Validation, Writing – review & editing

    Affiliations Department of Emergency Medicine, Nationwide Children’s Hospital, Columbus, OH, United States of America, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, United States of America

  • Motao Zhu,

    Roles Methodology, Writing – review & editing

    Affiliation The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Injury Research and Policy, Columbus, OH, United States of America

  • Henry Xiang

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing

    Xiang@nationwidechildrens.org

    Affiliations The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Pediatric Trauma Research, Columbus, OH, United States of America, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Center for Injury Research and Policy, Columbus, OH, United States of America, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, United States of America

Abstract

Background

Opioid overdose was declared a public health emergency in the United States, but much of the focus has been on adults. Child and adolescent exposure and access to unused prescription-opioid medications is a big concern. More research is needed on the trend of pediatric (age 0–17) prescription-opioid overdose emergency department (ED) visits in the United States, particularly during the COVID-19 pandemic year.

Methods

This retrospective epidemiological study used the 2008–2020 Nationwide Emergency Department Sample to provide a national estimate of ED visits related to prescription-opioid overdose. Inclusion criteria were 0-17-year-old patients treated at the ED due to prescription-opioid overdose. Eligible visits were identified if their medical records included any administrative billing codes for prescription-opioid overdose. National estimates were broken down by age groups, sex, geographic region, primary payer, median household income by zip code, ED disposition, and hospital location/teaching status. Incidence rate per 100,000 U.S. children was calculated for age groups, sex, and geographic region.

Results

Overall, the prescription-opioid overdose ED visits for patients from 0–17 years old in the United States decreased by 22% from 2008 to 2019, then increased by 12% in 2020. Most patients were discharged to home following their ED visit; however, there was a 42% increase in patients admitted from 2019 to 2020. The prescription-opioid overdose rate per 100,000 U.S. children was highest in the 0 to 1 and 12 to 17 age groups, with the 12 to 17 group increasing by 27% in 2020. ED visits in the West and Midwest saw prescription-opioid visits increase by 58% and 20%, respectively, from 2019–2020.

Conclusions

Prescription-opioid overdose ED visits among U.S. children and adolescents decreased over the past decade until 2019. However, there was a substantial increase in ED visits from 2019 to 2020, suggesting the potential impact due to the then-emerging COVID-19 pandemic. Findings suggest focusing on young children and adolescents to reduce further prescription-opioid overdoses in the United States.

Introduction

Historical morbidity and mortality data suggest that opioid overdosing is a national crisis in the United States (U.S.), among both adults and children. In particular, between 1999–2016, nearly 9,000 children and adolescents died from opioid overdoses [1], while hospitalizations due to opioid poisoning increased from 1.4 to 3.7 per 100,000 children from 1997–2012 [2]. Suicidal poisonings due to opioid overdose among adolescents (15–19 years) also doubled, while unintentional poisonings increased three-fold. Opioids remain the source of most poisonings/overdoses in children under six years of age [2]. Children and adolescents are typically exposed to opioids in homes, schools, and communities [310]. This opioid exposure and overuse continue to be a major public health issue in the United States [11,12], leading the Department of Health and Human Services to declare the opioid epidemic a public health emergency in 2017 and again in 2022 [13].

Opioid use has increased since the 1990s, with a nine-fold increase in prescriptions in 2016 across the entire U.S. population [14]. Prior retrospective studies in children, adolescents, and young adults (ages 0–24 years) suggest that most opioids are obtained legally from physicians, with <10% of opioids purchased from the black market and other illegal channels [15]. However, over 65% of prescribed opioids go unused by the intended patients [16,17], making overprescribing a major concern. Overprescribing may be partly due to misleading marketing from pharmaceutical companies [18].

Due to the devastating impacts of opioid overconsumption, national and local guidelines were developed in an attempt to reduce the dose and frequency of opioid prescriptions [19,20]. The American Board of Internal Medicine board examination performance found that physicians with greater clinical knowledge of the potential harm of prescribed opioids were less likely to prescribe opioids than those with less clinical knowledge [21]. Many states developed prescription guidelines to prevent opioid overuse [17,22]. Some U.S. EDs have experimented with decreasing opioid prescribing to combat subsequent opioid misuse [23]. In addition, new approaches alerting physicians of opioid-related deaths of their patients have made physicians more conservative in their prescribing practices, including opioids, even if their prescription was irrelevant to the patient’s death [24]. Overall, efforts by researchers, public health professionals, and the news media have better informed the public about the potential negative consequences of opioid pain medication in general and the dangers associated with opioid overprescription specifically. These efforts are believed to have resulted in fewer opioid prescriptions since the early 2010s in the adult population [14].

Despite the nearly doubled risk of opioid dependency later in life after early exposure [15,25], the research conducted on opioid overdoses in children and adolescents is limited. Two studies have revealed an analogous relationship between the trends in opioid prescribing and hospitalizations for opioid-related poisoning in both adults and children [2,26]. Exposure of children and adolescents to opioids is often through family members’ leftover prescription medication [22], a major contributor to overdosing [15]. Another study found that opioid-related poisonings and adverse effects frequently occur secondary to a pediatric patient’s own prescription and without deviation from the prescribed regimen [27]. Low-income communities or patients in unstable social circumstances (like housing instability or parental divorce) are most at risk for drug overdosing [22].

This study examined patterns of pediatric prescription-opioid overdoses leading to ED visits from 2008 to 2020 using the Nationwide Emergency Department Sample (NEDS). Specifically, we evaluated the trends by patient and hospital characteristics to better understand potential contributors to prescription-opioid overuse in U.S. children and adolescent populations.

Methods

Data source

This retrospective, clinical, epidemiological study used 2008–2020 NEDS data sets [28]. NEDS is the largest all-payer ED database that provides national estimates of hospital-owned ED visits. NEDS is part of a family of databases and software tools produced by the Healthcare Cost and Utilization Project (HCUP), sponsored by the Agency for Healthcare Research and Quality. Specifically, the NEDS contains clinical and resource-use information in a typical patient discharge abstract without identifiable data to protect individual patient, physician, and hospital privacy.

To ensure a national representative sample, NEDS uses a 20% stratified sample of hospital-owned EDs in the United States [29]. Adjusting for this survey design and sampling weight, we calculated the national-level estimates of pediatric prescription-opioid overdose by year and the corresponding incidence rate per 100,000 children over the 12-year period. We also broke down the national-level estimates by demographic groups (see 2.2) to examine potential subpopulation patterns of prescription-opioid overdose patients. Due to the database being de-identified and publicly available, the Nationwide Children’s Hospital Institutional Review Board deemed this study exempt.

Identifying opioid overdose cases and demographics

We used the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), or International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) administrative billing codes to identify prescription-opioid overdose cases. In the NEDS, ICD-9-CM codes were used between quarter 1 of 2008 and the third quarter of 2015, including 96500, 96502, 96509, E8501, and E8502. ICD-10-CM codes were used from quarter four of 2015 through quarter four of 2020 and included T400X1-T400X4, T402X1-T402X4, T403X1-T403X4, T404X1-T404X2, T40601-T40604, and T40691-T40694. The major difference between the ICD-9-CM and ICD-10-CM is that ICD-10-CM contains more specific instructions for coding prescribed analgesics, especially opioids [24]. In this study, all diagnosis codes in the NEDS database (up to 35) were searched to identify cases of prescription-opioid overdose. Inclusion criteria were 0–17 years old patients treated at the ED due to prescription-opioid overdose.

The primary outcome of our study was characterizing pediatric prescription-opioid overdoses from 2008–2020. National estimates of pediatric prescription-opioid overdose were broken down by age in groups (0 to 1, 2 to 5, 6 to 11, 12 to 17, inclusive), sex (male or female), geographic region (Northeast, Midwest, South, West), primary payer (public, private, self-pay, other), median household income by zip code (2020 quartile 1 = $1–49,999; quartile 2 = $50,000–64,999; quartile 3 = $65,000–85,999; quartile 4 = $86,000+), ED disposition (routine, transfer to short term hospital, other transfers, admitted, home health care, died in ED, other), and hospital location/teaching status (rural, urban non-teaching, urban teaching) (Table 1).

thumbnail
Table 1. National estimates of pediatric prescription-opioid overdose by year and demographics.

https://doi.org/10.1371/journal.pone.0299163.t001

Statistical analysis

Survey data analysis techniques were adjusted for both survey design and sample weights to yield national estimates of prescription-opioid overdose among children and adolescents to account for the stratified sampling design in NEDS. Specifically, NEDS developed survey weights using the American Hospital Association data of more than 6,200 hospitals and healthcare systems throughout the United States as the standard. Weighted discharge levels were calculated by strata to expand the ED visits in the NEDS sample to represent the national ED visits [29].

Descriptive statistics, including national estimates, percent change (2008–2019 and 2019–2020), and overdose rates, characterized overdose patterns from 2008 to 2020. The percentage change calculations’ date ranges were chosen to observe a trend line (2008–2019) and identify changes during the COVID-19 pandemic (2019–2020). The Taylor series linearization method estimated the standard error and 95% confidence intervals (95% CI) of the national estimates. Incidence rate per 100,000 U.S. children was calculated for age groups, sex, and geographic region by using the population data from the U.S. Census [30].

In compliance with the HCUP data use agreement, result table cell values of 1–10 were suppressed to avoid individual identification. SAS software version 9.4 (SAS Institute, Cary, NC) computed weighted counts and 95% CI [23] and ggplot2, an open-source data visualization package in R v1.3, plotted all figures [3134].

Results

The estimated national pediatric (0–17 years of age) prescription-opioid overdose cases are summarized by year (2008 to 2020) and demographic variables (Table 1). Despite some variability, overall, the prescription-opioid overdose ED visits in the United States decreased by 22% from 2008 to 2019, then increased by 12% in 2020. Patients with public or private insurance had higher case numbers than patients with self-pay or other insurance; however, in 2020, those with self-paid insurance saw an increase in ED visits by 47%. During most of the study period, lower-income households (quartiles 1 or 2 of the estimated median household income for the patient’s ZIP code) had more ED visits than higher-income households (Quartiles 3 and 4). In 2020, quartiles 1, 2, and 4 had increased ED visits for pediatric prescription-opioid overdose (15%, 19%, and 27%, respectively) compared to 2019. Most patients were discharged to home after an ED visit, followed by transfer and inpatient admission. However, a 42% increase in patients admitted was found from 2019 to 2020. Notably, cases of pediatric ED deaths were <10 annually between 2008–2019 but increased to 20 deaths in 2020. Urban teaching hospitals had the most ED visits, followed by urban non-teaching and rural hospitals. Prescription-opioid overdose ED visits increased by 27% in urban teaching hospitals from 2019–2020.

Overall, males had fewer ED visits due to prescription-opioid overdose than females, except in 2020, when male ED visits increased by 28% compared to 2019, while female ED visits were stable. From 2008 through 2012, overdose rates were similar among both sexes, with overlap of the 95% confidence intervals each year, except in 2009. Both overdose rates stayed relatively constant during that period. From 2013, the disparity grew as female overdose rates increased overall between 2012 to 2014, but male overdose rates decreased. Data from 2015 was not used, and the disparity in 2016 was the largest over the entire study period with both male and female overdose rates being higher than they were in 2014. Part of the increased discrepancy may have been due to the implementation of the ICD-10-CM code in 2015. Overdose rates decreased for both sexes from 2016 to 2019, and so did the difference between the two groups. This trend was interrupted in 2020, when male overdose rates increased while female rates stayed stable, marking the only year during the study where male overdose rates were greater than female overdose rates. The largest difference between the two groups was 1,230 visits in 2016, the smallest difference was 277 in 2011, and the difference was 343 in 2020 (Fig 1). Overall, the rate of female prescription-opioid overdoses decreased from 2016 through 2020 by 40%.

thumbnail
Fig 1. Pediatric prescription-opioid overdose rate by sex with 95% CI in shades of gray.

The disconnected plot value in 2015 accounts for the 2015 transition from ICD-9-CM to ICD-10-CM and the change in case identification. Redline indicates an increase from 2019–2020.

https://doi.org/10.1371/journal.pone.0299163.g001

While the 12 to 17 age group had the highest overall case numbers across the study period, the 6 to 11 and 12 to 17 age groups increased by 19% and 28%, respectively, from 2019 to 2020 (Table 1). The prescription-opioid overdose rate per 100,000 was highest in the 0 to 1 and 12 to 17 age groups (Fig 2). However, the 12 to 17 group increased by 27% in 2020, surpassing the 0 to 1 group. In the 6 to 11 group, rates of prescription-opioid overdose ED visits were consistent across the study period.

thumbnail
Fig 2. Pediatric prescription-opioid overdose rate by age group with 95% confidence intervals in shades of gray.

The disconnected plot value in 2015 accounts for the 2015 transition from ICD-9-CM to ICD-10-CM and the change in case identification. Redline indicates an increase from 2019–2020.

https://doi.org/10.1371/journal.pone.0299163.g002

Overall, ED visits were highest in the South, followed by the West, Midwest, and Northeast regions. In 2020, the West and Midwest increased ED visits by 57% and 20%, respectively, compared to 2019. When adjusted for population size, the Midwest, South, and West had similar ED visit rates for pediatric prescription-opioid overdose (Fig 3). However, the West and Midwest saw prescription-opioid ED visits increase by 58% and 20%, respectively, from 2019–2020.

thumbnail
Fig 3. Pediatric prescription-opioid overdose rate by hospital region in the United States with 95% confidence intervals in shades of gray.

The disconnected plot value in 2015 accounts for the 2015 transition from ICD-9-CM to ICD-10-CM and the change in case identification. Redline indicates an increase from 2019–2020.

https://doi.org/10.1371/journal.pone.0299163.g003

Discussion

Our study aimed to assess prescription-opioid overdose in children and adolescents by examining pediatric ED visits from 2008–2020 and evaluating trends by patient and hospital characteristics using a national dataset. We observed an overall decrease in prescription-opioid ED visits from 2008 to 2019 and an increase in prescription-opioid overdose ED visits from 2019 to 2020. Males, 12 to 17 age group, and those in the West and Midwest exhibited a large increase in prescription-opioid ED visits from 2019–2020.

Many governmental guidelines and interventions have increased physicians’ and patients’/parents’ awareness of the potential harm of prescription-opioid pain medications [17,19,20,22]. Previous studies have found higher overall adolescent drug use, often associated with more dangerous behaviors, mental instability, serious accidents, and higher death rates [11,35,36]. We analyzed for prescription-opioid overdose ED visits within four age groups (0 to 1, 2 to 5, 6 to 11, and 12 to 17 years). We also found that adolescents 12 to 17 had the most ED visits. Furthermore, the 0 to 1 years group had prescription-opioid ED visit frequencies comparable to the 12 to 17 years group, which ED physicians at our hospital have ascribed to young children unintentionally accessing caregiver medications [personal communication].

Data from this study suggested that females generally had more prescription-opioid overdose ED visits than males. However, prescription-opioid overdose ED visits for males increased by 28% from 2019 to 2020, with little change noted in females. Previous studies have indicated that females have a higher risk of opioid overdose than males [37,38], but these study populations did not focus on children or adolescents under 18. Bagley et al. found significant risk factors for prescription-opioid misuse among adolescents and young adults differed by sex, specifically comorbid psychiatric disorders (such as mood or anxiety disorders) and history of suicide attempts being higher in females than males [39].

The large decrease in 2015 and subsequent increase in 2016 could result from transitioning to using ICD-9-CM to ICD-10-CM codes in October 2015, which introduced notable changes in specificity for medical billing codes. This increased specificity could have improved the coding and identification of prescription-opioid overdoses that did not reflect an increase in the actual number of overdoses. Other studies in adult and geriatric populations have also observed a period of increased ED visits due to opioid overuse from 2015 to 2016 and an increase in 2020 [40]. Another possible factor would be the increased availability of synthetic opioids, such as illicitly manufactured fentanyl, and their contribution to the third and fourth wave of the opioid epidemic in the United States [41]. This increase in 2020 may be due to the rise in mental health concerns during the COVID-19 pandemic, which might have led to drug use in isolation and higher death rates [20] compared to <10 deaths from 2008–2019 [42,43].

There has been concern that decreasing opioid prescriptions will reduce physicians‘ ability to manage patients‘ pain effectively. Alternative medications include non-opioid analgesics, antidepressants, and anti-seizure drugs that have demonstrated pain-reducing benefits and lower risk of harm [44]. Nonpharmacologic pain treatments, such as exercise therapy and cognitive behavioral therapy, and medical virtual reality have been shown to be associated with the reduction of chronic pain [4447]. Therefore, physicians should also consider non-opioid medications and nonpharmacologic pain strategies for pain management. When opioids are prescribed, our findings show that certain sociodemographic factors increase the likelihood of opioid overuse. Therefore, physicians should account for each patient’s circumstances to tailor the treatment plan to the individual, instead of standardizing prescriptions for all patients. Furthermore, medical staff should actively follow-up with patients to assess for signs of opioid misuse and gradually reduce opioid consumption.

The year of 2020 revealed many increases in opioid overdose inconsistent with the steady decrease observed from the years 2016–2019. This was most likely due to the outbreak of the COVID-19 pandemic. Due to the pandemic, a series of lockdowns were put in place. The World Health Organization (WHO) reports that depression rates increase by 25% during the pandemic [48], which has been historically associated with increased drug use. In addition, people who had already developed an opioid dependence would be cut off from their supply of prescription opioids at the hospital, so they would be more likely to turn to unreliable sources to obtain the drugs [49], such as dealers contacted on social media. These drugs would likely contain contaminants or have unknown concentrations of substance, causing harmful effects or increasing the potency of the opioids and therefore making it much easier to overdose. Finally, since people were confined to their homes, if a person overdosed, the chance that they would be discovered and quickly administered proper treatment was much lower [49], resulting the increased severity of many overdoses.

Limitations of this study should be noted. One limitation of our study is that the NEDS data sets contain records of ED encounters and subsequent discharges but do not identify patient characteristics, such as whether patients had more than one hospital ED visit for prescription-opioid poisonings. In addition, the ICD-9-CM and ICD-10-CM codes used in this study were originally coded for reimbursement purposes and not collected for research, which could be affected by hospital practice variations and overall institutional differences, likely leading to differences in data collection quality or underestimating prescription-opioid poisoning cases due to nonspecific coding practices [50]. Further, implementing the ICD-10-CM guidelines in late 2015 may have led to differences in overdose coding that could contribute to the appearance of frequency changes that did not occur [51]; however, our study included five years of data post the ICD-10-CM transition which minimizes the likelihood that the coding/billing guideline changes that occurred in 2015 will affect the generalizability of the study. Another limitation is that although the data on the total ED visits for pediatric prescription-opioid overdose was broken down by community type (such as household income and hospital location/teaching status) (Table 1), no data was available on the total number of children living in these areas to calculate rates. This study uses ED visits related to prescription opioid overdose as a proxy for U.S. prescription opioid overdose; however, it should be noted that the NEDS dataset only captures visits to the ED. This method underrepresents opioid overdoses that occur outside of a medical facility. Finally, race and ethnicity variables were not included in the NEDS data until 2019, so we could not evaluate these important variables in our study.

Future studies could investigate the impact of the COVID-19 pandemic on the opioid epidemic once nationwide data on opioid overdose is made available for later years of the pandemic. In particular, this data could be used to track further trends in opioid overdose for the sociodemographic subgroups of males, adolescents aged 12–17 years, and the Midwest and West regions that experienced large overdose rate increases in 2020.

Conclusion

In the past decade, the number of prescription-opioid overdose ED visits has changed substantially for U.S. children and adolescents. Our study observed a 22% decrease in ED visits from 2008 to 2019, but 2019 to 2020 saw a 12% increase. We also found that children from 0 to 1 year and adolescents 12 to 17 years had the highest overall number and incidence rates of ED visits for prescription-opioid overdose compared to other age groups. Additionally, female children and adolescents generally had more prescription-opioid overdose ED visits than males. These study findings support focusing on young children (0 to 1 year), adolescents (12 to 17 years), and females to reduce further prescription-opioid overdoses in the United States.

Supporting information

S1 Checklist. STROBE statement—checklist of items that should be included in reports of observational studies.

https://doi.org/10.1371/journal.pone.0299163.s001

(DOCX)

Acknowledgments

We would like to thank Melody Davis and Beth Fischer for their proofreading expertise.

References

  1. 1. Gaither JR, Shabanova V, Leventhal JM. US National Trends in Pediatric Deaths From Prescription and Illicit Opioids, 1999–2016. JAMA Network Open. 2018;1(8):e186558-e. pmid:30646334
  2. 2. Gaither JR, Leventhal JM, Ryan SA, Camenga DR. National Trends in Hospitalizations for Opioid Poisonings Among Children and Adolescents, 1997 to 2012. JAMA Pediatr. 2016;170(12):1195–201. pmid:27802492
  3. 3. Bailey JE, Campagna E, Dart RC. The underrecognized toll of prescription opioid abuse on young children. Ann Emerg Med. 2009;53(4):419–24. pmid:18774623
  4. 4. Bond GR, Woodward RW, Ho M. The growing impact of pediatric pharmaceutical poisoning. J Pediatr. 2012;160(2):265–70.e1. pmid:21920539
  5. 5. Burghardt LC, Ayers JW, Brownstein JS, Bronstein AC, Ewald MB, Bourgeois FT. Adult Prescription Drug Use and Pediatric Medication Exposures and Poisonings. Pediatrics. 2013;132(1):18–27. pmid:23733792
  6. 6. Centers for Disease Control and Prevention VitalSigns. Opioid Painkiller Prescribing—Where You Live Makes a Difference: Centers for Disease Control and Prevention; 2014. Available from: https://www.cdc.gov/vitalsigns/opioid-prescribing/index.html. (Accessed 2023 Aug 30).
  7. 7. Finkelstein Y, Macdonald EM, Gonzalez A, Sivilotti MLA, Mamdani MM, Juurlink DN, et al. Overdose Risk in Young Children of Women Prescribed Opioids. Pediatrics. 2017;139(3). pmid:28219963
  8. 8. McDonald EM, Kennedy-Hendricks A, McGinty EE, Shields WC, Barry CL, Gielen AC. Safe Storage of Opioid Pain Relievers Among Adults Living in Households With Children. Pediatrics. 2017;139(3). pmid:28219969
  9. 9. Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in Drug and Opioid Overdose Deaths—United States, 2000–2014. MMWR Morb Mortal Wkly Rep. 2016;64(50–51):1378–82. pmid:26720857
  10. 10. Von Korff M, Saunders K, Thomas Ray G, Boudreau D, Campbell C, Merrill J, et al. De facto long-term opioid therapy for noncancer pain. Clin J Pain. 2008;24(6):521–7. pmid:18574361
  11. 11. Friedman J, Godvin M, Shover CL, Gone JP, Hansen H, Schriger DL. Trends in Drug Overdose Deaths Among US Adolescents, January 2010 to June 2021. JAMA. 2022;327(14):1398–400. pmid:35412573
  12. 12. The Lancet. A time of crisis for the opioid epidemic in the USA. The Lancet. 2021;398(10297):277.
  13. 13. Eric D. Hargan. Declaration That a Public Health Emergency Exists. In: Services DoHH, editor. Washington, DC 2017.
  14. 14. Kim B, Nolan S, Beaulieu T, Shalansky S, Ti L. Inappropriate opioid prescribing practices: A narrative review. Am J Health Syst Pharm. 2019;76(16):1231–7. pmid:31251321
  15. 15. Renny MH, Yin HS, Jent V, Hadland SE, Cerdá M. Temporal Trends in Opioid Prescribing Practices in Children, Adolescents, and Younger Adults in the US From 2006 to 2018. JAMA Pediatrics. 2021;175(10):1043–52. pmid:34180978
  16. 16. Hill MV, McMahon ML, Stucke RS, Barth RJ Jr. Wide Variation and Excessive Dosage of Opioid Prescriptions for Common General Surgical Procedures. Annals of Surgery. 2017;265(4). pmid:27631771
  17. 17. McGee LM, Kolli A, Harbaugh CM, Howard RA, Englesbe MJ, Brummett CM, et al. Spillover Effect of Opioid Reduction Interventions From Adult to Pediatric Surgery. Journal of Surgical Research. 2020;249:18–24. pmid:31918326
  18. 18. Weiner SG, Baker O, Poon SJ, Rodgers AF, Garner C, Nelson LS, et al. The Effect of Opioid Prescribing Guidelines on Prescriptions by Emergency Physicians in Ohio. Ann Emerg Med. 2017;70(6):799–808.e1. pmid:28549620
  19. 19. Davis CS, Lieberman AJ, Hernandez-Delgado H, Suba C. Laws limiting the prescribing or dispensing of opioids for acute pain in the United States: A national systematic legal review. Drug Alcohol Depend. 2019;194:166–72. pmid:30445274
  20. 20. Dowell D, Ragan KR, Jones CM, Baldwin GT, Chou R. Prescribing Opioids for Pain—The New CDC Clinical Practice Guideline. N Engl J Med. 2022;387(22):2011–3. pmid:36326116
  21. 21. Gray BM, Vandergrift JL, Weng W, Lipner RS, Barnett ML. Clinical Knowledge and Trends in Physicians’ Prescribing of Opioids for New Onset Back Pain, 2009–2017. JAMA Netw Open. 2021;4(7):e2115328. pmid:34196714
  22. 22. Nguyen AP, Glanz JM, Narwaney KJ, Binswanger IA. Association of Opioids Prescribed to Family Members With Opioid Overdose Among Adolescents and Young Adults. JAMA Netw Open. 2020;3(3):e201018. pmid:32219404
  23. 23. Nelson LS, Mazer-Amirshahi M, Perrone J. Opioid Deprescribing in Emergency Medicine-A Tool in an Expanding Toolkit. JAMA Netw Open. 2020;3(3):e201129. pmid:32211866
  24. 24. Slavova S, Costich JF, Luu H, Fields J, Gabella BA, Tarima S, et al. Interrupted time series design to evaluate the effect of the ICD-9-CM to ICD-10-CM coding transition on injury hospitalization trends. Inj Epidemiol. 2018;5(1):36. pmid:30270412
  25. 25. Quinn PD, Fine KL, Rickert ME, Sujan AC, Boersma K, Chang Z, et al. Association of Opioid Prescription Initiation During Adolescence and Young Adulthood With Subsequent Substance-Related Morbidity. JAMA Pediatrics. 2020;174(11):1048–55. pmid:32797146
  26. 26. Lewis ET, Cucciare MA, Trafton JA. What do patients do with unused opioid medications? Clin J Pain. 2014;30(8):654–62. pmid:24281287
  27. 27. Chung CP, Callahan ST, Cooper WO, Dupont WD, Murray KT, Franklin AD, et al. Outpatient Opioid Prescriptions for Children and Opioid-Related Adverse Events. Pediatrics. 2018;142(2). pmid:30012559
  28. 28. Healthcare Cost and Utilization Project (HCUP). NEDS Overview. Agency for Healthcare Rsearch and Quality 2021. Available from https://hcup-us.ahrq.gov/nedsoverview.jsp. (Accessed 2023 Aug 30).
  29. 29. Heathcare Cost and Utilization Project. Introduction to the HCUP Nationwide Emergency Department Sample (NEDS) 2020: Agency for Healthcare Research and Quality 2022. Available from: https://www.hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2020.jsp. (Accessed 2023 Aug 30).
  30. 30. Centers for Disease Control and Prevention, National Center for Health Statistics (NCHS). Bridged-Race Population Estimates. Available from https://wonder.cdc.gov/bridged-race-population.html. (Accessed 2023 Aug 30).
  31. 31. R Core Team. R: A language and environment for statistical computing Vienna, Austria: R Foundation for Statistical Computing; 2020. Available from: https://www.R-project.org/.(Accessed 2023 Aug 30).
  32. 32. RStudio Team. RStudio: Integrated Development for R Boston, MA: RStudio, Inc.; 2019 Available from: http://www.rstudio.com/. (Accessed 2023 Aug 30).
  33. 33. SAS Institute Inc. SAS/STAT® 13.1 User’s Guide Cary, NC: SAS Institute Inc.; 2013 Available from: https://support.sas.com/documentation/onlinedoc/stat/131/surveyfreq.pdf. (Accessed 2023 Aug 30).
  34. 34. Wickham H. ggplot2: Elegant Graphics for Data Analysis: Springer-Verlag New York; 2016.
  35. 35. Hermans SP, Samiec J, Golec A, Trimble C, Teater J, Hall OT. Years of Life Lost to Unintentional Drug Overdose Rapidly Rising in the Adolescent Population, 2016–2020. J Adolesc Health. 2023;72(3):397–403. pmid:36096899
  36. 36. Lyons RM, Yule AM, Schiff D, Bagley SM, Wilens TE. Risk Factors for Drug Overdose in Young People: A Systematic Review of the Literature. J Child Adolesc Psychopharmacol. 2019;29(7):487–97. pmid:31246496
  37. 37. Hudgins JD, Porter JJ, Monuteaux MC, Bourgeois FT. Prescription opioid use and misuse among adolescents and young adults in the United States: A national survey study. PLoS Med. 2019;16(11):e1002922.
  38. 38. Sung HE, Richter L, Vaughan R, Johnson PB, Thom B. Nonmedical use of prescription opioids among teenagers in the United States: trends and correlates. J Adolesc Health. 2005;37(1):44–51. pmid:15963906
  39. 39. Bagley SM, Gai MJ, Earlywine JJ, Schoenberger SF, Hadland SE, Barocas JA. Incidence and Characteristics of Nonfatal Opioid Overdose Among Youths Aged 11 to 24 Years by Sex. JAMA Network Open. 2020;3(12):e2030201-e.
  40. 40. Young BT, Zolin SJ, Ferre A, Ho VP, Harvey AR, Beel KT, et al. Effects of Ohio’s opioid prescribing limit for the geriatric minimally injured trauma patient. Am J Surg. 2020;219(3):400–3. pmid:31910990
  41. 41. Friedman J, Shover CL. Charting the fourth wave: Geographic, temporal, race/ethnicity and demographic trends in polysubstance fentanyl overdose deaths in the United States, 2010–2021. Addiction. 2023 Dec;118(12):2477–2485. pmid:37705148
  42. 42. Holland KM, Jones C, Vivolo-Kantor AM, Idaikkadar N, Zwald M, Hoots B, et al. Trends in US Emergency Department Visits for Mental Health, Overdose, and Violence Outcomes Before and During the COVID-19 Pandemic. JAMA Psychiatry. 2021;78(4):372–9. pmid:33533876
  43. 43. Tanne JH. Covid-19: US sees increase in sexually transmitted diseases and teen drug overdose deaths. BMJ. 2022;377:o991. pmid:35440470
  44. 44. Adams SM, Blanco C, Chaudhry HJ, Chen H, Chou R, Christopher MLD, et al. First, Do No Harm: Marshaling Clinician Leadership to Counter the Opioid Epidemic. Washington, DC: The National Academies Press. 2017. Available from https://doi.org/10.17226/27116. (Accessed 2023 Aug 30).
  45. 45. Xiang H, Shen J, Wheeler KK, Patterson J, Lever K, Armstrong M, et al. Efficacy of Smartphone Active and Passive Virtual Reality Distraction vs Standard Care on Burn Pain Among Pediatric Patients: A Randomized Clinical Trial. JAMA Netw Open. 2021;4(6):e2112082. pmid:34152420
  46. 46. Armstrong M, Lun J, Groner JI, Thakkar RK, Fabia R, Noffsinger D, et al. Mobile phone virtual reality game for pediatric home burn dressing pain management: a randomized feasibility clinical trial. Pilot Feasibility Stud. 2022 18;8(1):186. pmid:35982492
  47. 47. Garcia LM, Birckhead BJ, Krishnamurthy P, Mackey I, Sackman J, Salmasi V, et al. Three-Month Follow-Up Results of a Double-Blind, Randomized Placebo-Controlled Trial of 8-Week Self-Administered At-Home Behavioral Skills-Based Virtual Reality (VR) for Chronic Low Back Pain. J Pain. 2022;23(5):822–840. pmid:34902548
  48. 48. World Health Organization. COVID-19 pandemic triggers 25% increase in prevalence of anxiety and depression worldwide. Available from: https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide. (Accessed 2023 Aug 30).
  49. 49. Kline A, Williams JM, Steinberg ML, Mattern D, Chesin M, Borys S, et al. Predictors of opioid overdose during the COVID-19 pandemic: The role of relapse, treatment access and nonprescribed buprenorphine/naloxone. J Subst Use Addict Treat. 2023;149:209028. pmid:37003539
  50. 50. Di Rico R, Nambiar D, Stoové M, Dietze P. Drug overdose in the ED: a record linkage study examining emergency department ICD-10 coding practices in a cohort of people who inject drugs. BMC Health Serv Res. 2018;18(1):945. pmid:30518362
  51. 51. Yang H, Pasalic E, Rock P, Davis JW, Nechuta S, Zhang Y. Interrupted time series analysis to evaluate the performance of drug overdose morbidity indicators shows discontinuities across the ICD-9-CM to ICD-10-CM transition. Injury Prevention. 2021;27(Suppl 1):i35. pmid:33674331