Abstract
Objective
To determine the prevalence of medical and nonmedical use of prescription opioids among high school seniors in the United States, and to assess substance use behaviors based on medical and nonmedical use of prescription opioids.
Design
Nationally representative samples of high school seniors (modal age 18) were surveyed during the spring of their senior year via self-administered questionnaires.
Setting
Data were collected in public and private high schools.
Participants
The sample consisted of 7,374 students from three independent cohorts (2007-09).
Main Outcome Measures
Self-reports of medical and nonmedical use of prescription opioids and other substance use.
Results
An estimated 17.6% of high school seniors reported lifetime medical use of prescription opioids, while 12.9% reported nonmedical use of prescription opioids. Gender differences in the medical and nonmedical use were minimal, while racial/ethnic differences were extensive. Over 37% of nonmedical users reported intranasal administration of prescription opioids. An estimated 80% of nonmedical users with an earlier history of medical use had obtained prescription opioids from a prescription they had previously. The odds of substance use behaviors were greater among individuals who reported any history of nonmedical use of prescription opioids relative to those who reported medical use only.
Conclusions
Nearly one in every four high school seniors in the United States has ever had some exposure to prescription opioids either medically or nonmedically. The quantity of prescription opioids and number of refills prescribed to adolescents should be carefully considered and closely monitored to reduce subsequent nonmedical use of leftover medication.
INTRODUCTION
Prescription opioids are highly efficacious when used properly for the treatment of acute and chronic pain related conditions.1 The prescribing of prescription opioids has increased among adolescents and young adults in the U.S.2-4 Indeed, the prescribing rates for prescription opioids have nearly doubled since 1994 among adolescents and young adults.2 One possible consequence of an increase in prescribing rates is an increase in nonmedical use of prescription opioids (NMUPO) and related consequences due to greater availability.4-7 For example, the estimated number of emergency department visits involving the NMUPO more than doubled between 2004 and 2008 for patients younger than 21 years of age.7
The leading sources of prescription opioids among adolescent nonmedical users are from their peers and from their own previous prescription opioids,8-10 indicating that NMUPO should be considered within the larger context of medical availability. The association between medical availability and NMUPO among adolescents has received relatively scant attention and little research exists that assesses this relationship. At least two studies of adolescents found that the majority of lifetime medical users of prescription opioids reported no lifetime history of NMUPO.11-12 However, most lifetime nonmedical users of prescription opioids reported a lifetime history of medical use of prescription opioids.11-12 Despite findings from these two studies conducted in the Detroit metropolitan area, there remains a lack of research assessing the associations between medical use of prescription opioids and NMUPO in national samples of adolescents.13 Such studies could provide assurance to health professionals who prescribe opioid medications to adolescents that they can effectively treat patients with these medications and provide insights about how to reduce the misuse of these medications.
Adolescence represents an important time to understand medical use of prescription opioids and NMUPO because older adolescents often become responsible for their own medication management and adolescents serve as the leading diversion source of NMUPO for their peers.8-12 Adolescents who initiate NMUPO before 18 years of age are more likely to develop prescription opioid use disorders than those who initiate NMUPO later in life.14 To date, there are no known national studies of medical use of prescription opioids among high school students. The objectives of the present study are to 1) assess the lifetime prevalence of medical use of prescription opioids and NMUPO in a national sample of high school seniors; 2) assess the associations between the history of lifetime medical use of prescription opioids and NMUPO and substance use behaviors.
METHODS
Study Design
The Monitoring the Future (MTF) study annually surveys a cross-sectional, nationally representative sample of high school seniors in approximately 135 public and private schools in the coterminous U.S., using self-administered paper-and-pencil questionnaires in classrooms. The sample consisted of high school seniors from three independent cohorts (senior years 2007-2009) and the MTF study uses a multi-stage sampling procedure. In stage 1, geographic areas or primary sampling units are selected; in stage 2, schools within primary sampling units are selected (with probability proportionate to school size); and in stage 3, students within schools are selected. The student response rates for high school seniors ranged from 79% to 82% between 2007 and 2009. Because so many questions are included in the MTF study, much of the questionnaire content is divided into six different questionnaire forms which are randomly distributed. This approach results in six virtually identical subsamples. The measures most relevant for this study were asked on Form 1, so this study focuses on the cross-sectional subsamples receiving Form 1 within each year cohort. Details about the MTF design and methods are available elsewhere.8 Institutional Review Board approval was granted for this study by the University of Michigan Institutional Review Board Health Sciences.
Sample
The sample included 7,374 individuals who completed questionnaires during the spring of their senior year between 2007 and 2009, and these respondents comprise the study sample. The sample included 48% female, 69% White, 13% African-American, and 18% Hispanic students. The modal age of the individuals in the sample was 18 years of age.
Measures
The MTF study assesses a wide range of behaviors, attitudes, and values and we have selected specific measures from a larger set of questions for the present study including demographic characteristics and standard measures of substance use behaviors such as binge drinking, cigarette use, nonmedical use of prescription medications, marijuana and other drug use.8
Medical use of prescription opioids was assessed by asking respondents whether they had ever taken prescription opioids because a doctor told them to use the medication. Respondents were informed that prescription opioids are sometimes prescribed by doctors and drugstores are not supposed to sell them without a prescription. These included: Vicodin®, OxyContin®, Percodan®, Percocet®, Demerol®, Dilaudid®, morphine, opium, and codeine. The response options included: 1) No; 2) Yes, but I had already tried them on my own; 3) Yes, and it was the first time I took any.
Nonmedical use of prescription opioids was assessed by asking respondents on how many occasions (if any) in their lifetime they used prescription opioids on their own—that is, without a doctor telling you to take them. The response scale ranged from: 1) no occasions to 7) 40 or more occasions.
Routes of administration were assessed by asking which methods respondents used for taking prescription opioids not prescribed to them. The routes included: 1) intranasal (snorting); 2) smoking; 3) injection; 4) orally (by mouth); and 5) other.
Diversion sources were assessed by asking respondents where they obtained the prescription opioids they used without a doctor's order during the past year. The diversion sources included: 1) bought on the Internet, 2) took from friend or relative without asking, 3) given for free by friend or relative, 4) bought from friend or relative, 5) from a prescription I had, 6) bought from drug dealer/stranger, and 7) other method.
Statistical Analysis
The estimated prevalence rates for medical use and NMUPO - across subgroups defined by demographic characteristics and substance use behaviors - were computed using cross-tabulations incorporating the MTF sampling weights. Rao-Scott Chi-square tests of homogeneity15 and design-based logistic regression analyses, or logistic regression analyses incorporating the complex sample design features of the MTF (including the sampling weights) and the effects of these features on variance estimates,16 were conducted to determine whether medical and nonmedical use history of prescription opioids was significantly associated with substance use behaviors. The following five mutually exclusive groups were compared on the analyses: 1) no lifetime medical use or NMUPO, 2) lifetime medical use only, 3) lifetime medical use prior to NMUPO, 4) lifetime NMUPO prior to medical use, and 5) lifetime NMUPO only. Estimated (linearized) variances of weighted estimates were multiplied by an average MTF design effect factor prior to the construction of confidence intervals, and weighted Pearson chi-square statistics were divided by this same design effect factor15 per the recommendation of Johnston and colleagues.8 All statistical analyses were performed using commands for the analysis of complex sample survey data in the Stata 11.2 software (StataCorp, College Station, TX, 2011).
RESULTS
Prevalence of medical and nonmedical use of prescription opioids
The estimated prevalence of lifetime medical use of prescription opioids among U.S. high school seniors was 17.6% while the lifetime nonmedical use of prescription opioids (NMUPO) was 12.9%. Based on these three cohorts, we estimate that 22.3% of U.S. high school seniors had some lifetime exposure to prescription opioids either medically or nonmedically during this time period. The prevalence of lifetime NMUPO held steady at 13% over the three years between 2007 and 2009, while the prevalence of lifetime medical use of prescription opioids increased slightly from 16.9% in 2007 to 18.7% in 2009. None of these changes in prevalence were significant. There were minimal gender differences with respect to the history of medical use of and NMUPO. The lifetime prevalence of any medical use of prescription opioids was 18.3% among females and 16.8% among males while the lifetime prevalence of NMUPO was 11.8% among females and 13.8% among males. The percentage of students who ever received a prescription for opioids and never used nonmedically in their lifetime was 9.3%.
The estimated lifetime prevalence of any medical use of prescription opioids was 22.8% among White students, 6.9% among African-Americans and 6.7% among Hispanics (P < 0.001) while the lifetime prevalence of NMUPO was 16.4% among White students, 4.0% among African-Americans and 5.9% among Hispanics (P < 0.001). As illustrated in Table 1, there were notable racial/ethnic differences with respect to the history of medical use and NMUPO: white students had significantly higher rates of both medical use and NMUPO compared to African-Americans and Hispanics, and correspondingly significantly lower rates of non-use.
Table 1.
Lifetime medical and nonmedical use of prescription opioids among U.S. high school seniors by race/ethnicity, 2007-2009
History of lifetime medical and nonmedical use | Overall (N = 6673) % | White (n = 4015) % | African-American (n = 713) % | Hispanic (n = 993) % | Racial/ethnic differences P |
---|---|---|---|---|---|
No medical or nonmedical use | 77.7 | 71.4 | 92.4 | 90.2 | < .001 |
Medical use only | 9.3 | 12.3 | 3.6 | 3.9 | < .001 |
Medical use prior to nonmedical use | 4.3 | 5.6 | 1.9 | 1.6 | < .001 |
Nonmedical use prior to medical use | 3.9 | 5.0 | 1.4 | 1.2 | < .001 |
Nonmedical use only | 4.7 | 5.8 | 0.7 | 3.1 | < .001 |
* NOTE: Sample sizes due not sum to full sample size due to 1,368 missing values on race / ethnicity for these three cohorts.
Medical and nonmedical use of prescription opioids and other substance use behaviors
Bivariate analyses were used to initially examine the associations among lifetime medical use of prescription opioids and NMUPO and substance use behaviors. Rao-Scott Chi-square tests revealed significant associations between lifetime history of prescription opioid use and each measure of substance use (P < .001). Multivariate logistic regression results reinforced the bivariate findings; the odds of reporting substance use were considerably higher among individuals who reported lifetime NMUPO after adjusting for relevant covariates (see Table 2). Substance use behaviors among individuals who reported NMUPO prior to medical use were similar to individuals who reported only lifetime NMUPO. In contrast, individuals who reported only lifetime medical use of prescription opioids reported similar odds of substance use behaviors as individuals who reported no lifetime medical use or NMUPO. Finally, some of the odds of individuals who reported medical use prior to NMUPO were significantly higher than those who reported no lifetime medical use or NMUPO but considerably lower than those who reported only lifetime NMUPO or those who reported NMUPO prior to medical use.
Table 2.
Substance use behaviors as a function of medical and nonmedical use of prescription opioids, 2007-2009
Any cigarette smoking in the past 30 days | Any binge drinking in the past 2 weeks | Any marijuana use in lifetime | Any illicit drug use other than marijuana in lifetime | Any nonmedical use of other prescription medications in lifetime | ||||||
---|---|---|---|---|---|---|---|---|---|---|
History of lifetime medical and nonmedical use | % | AOR (95% CI) | % | AOR (95% CI) | % | AOR (95% CI) | % | AOR (95% CI) | % | AOR (95% CI) |
No medical or nonmedical use | 16.0 | -- | 15.7 | -- | 5.4 | -- | 5.6 | -- | 6.9 | -- |
Medical use only | 16.7 | 0.9 (0.6 - 1.3) | 18.6 | 1.0 (0.7 - 1.4) | 3.5 | 0.6 (0.3 - 1.2) | 6.5 | 1.2 (0.7 - 2.0) | 6.7 | 0.9 (0.5 - 1.4) |
Medical use prior to nonmedical use | 26.0 | 1.6 (1.0 - 2.5) | 28.3 | 1.8 (1.2 - 2.8) | 13.7 | 2.2 (1.2 - 3.9) | 17.8 | 3.3 (2.0 - 5.7) | 26.4 | 4.2 (2.7 - 6.6) |
Nonmedical use prior to medical use | 61.2 | 8.2 (5.4 - 12.5) | 58.0 | 7.7 (5.0 - 11.9) | 41.9 | 12.3 (8.0 - 19.1) | 59.7 | 26.6 (16.9 - 41.9) | 70.6 | 27.6 (17.7 - 43.0) |
Nonmedical use only | 63.3 | 8.6 (5.9 - 12.6) | 49.9 | 4.5 (3.1 - 6.6) | 48.8 | 16.0 (10.8 - 23.9) | 57.9 | 22.2 (14.8 - 33.5) | 67.5 | 25.5 (17.0 - 38.3) |
5571 | 5507 | 5644 | 5442 | 5584 |
The reference group is no medical or nonmedical use.
Sample sizes for the regression models ranged from 5,442 (Any illicit drug use other than marijuana in lifetime) to 5,644 (Any marijuana use in lifetime) due to missing data.
Binge drinking in the past 2 weeks was defined as consuming five or more drinks in a row.
Any illicit drug use other than marijuana included LSD, other psychedelics, crack cocaine, other cocaine, heroin.
Any nonmedical use of other prescription medications included stimulants, sedatives, tranquilizers.
Multivariate logistic regression adjusting for race/ethnicity, cohort year, school geographical region, and SMSA.
The associations among lifetime medical use and NMUPO and specific behaviors related to prescription opioids, such as route of administration, diversion sources, and motives, were also examined using chi-square tests and revealed significant associations (P < .001). Overall, we found that more than 37% of nonmedical users reported intranasal administration of prescription opioids and less than 1.5% of nonmedical users reported buying prescription opioids on the Internet. Multiple logistic regression results supported the bivariate findings; the odds of intranasal administration of prescription opioids, buying prescription opioids from any source, having a friend or relative give prescription opioids for free, and NMUPO to feel good or get high were significantly greater among those who reported NMUPO prior to medical use and those who reported NMUPO only as compared to those who reported medical use prior to NMUPO after adjusting for relevant covariates (see Table 3). Of those who reported medical use prior to NMUPO, an estimated 79.5% reported NMUPO with the prescription opioids they had been previously prescribed.
Table 3.
Route of administration, diversion, and motive as a function of medical and nonmedical use of prescription opioids, 2007-2009
Intranasal administration of prescription opioids (snorted) | Given prescription opioids for free from a friend or relative | Bought prescription opioids from a friend, relative, drug dealer, stranger | Nonmedical use to relieve physical pain | Nonmedical use to feel good or get high | ||||||
---|---|---|---|---|---|---|---|---|---|---|
History of lifetime medical and nonmedical use | % | AOR (95% CI) | % | AOR (95% CI) | % | AOR (95% CI) | % | AOR (95% CI) | % | AOR (95% CI) |
Medical use prior to nonmedical use | 9.4 | Reference | 21.5 | Reference | 18.2 | Reference | 63.7 | Reference | 31.4 | Reference |
Nonmedical use prior to medical use | 41.7 | 6.7 (2.0 - 21.9) | 62.9 | 6.9 (2.9 - 16.8) | 51.6 | 5.0 (2.1 - 12.1) | 59.9 | 0.7 (0.3 - 1.6) | 61.7 | 4.1 (1.8 - 9.2) |
Nonmedical use only | 46.5 | 8.9 (2.8 - 28.1) | 56.5 | 6.5 (2.7 - 15.4) | 50.9 | 4.4 (1.9 - 10.5) | 33.6 | 0.3 (0.1 - 0.6) | 58.9 | 3.8 (1.8 - 8.4) |
426 | 432 | 432 | 425 | 425 |
The reference group is medical use prior to nonmedical use.
Sample sizes for the regression models ranged from 425 (Nonmedical use to feel good or get high) to 432 (Given prescription opioids for free from a friend or relative and Bought prescription opioids from a friend, relative, drug dealer, or stranger), due to missing data.
Multivariate logistic regression adjusting for race/ethnicity, cohort year, school geographical region, and SMSA.
* p < 0.05, ** p < 0.01, *** p < 0.001 based on logistic regression results.
We found that individuals who reported only lifetime NMUPO had 70% lower expected odds of NMUPO “to relieve physical pain” relative to those who reported medical use of prescription opioids prior to NMUPO when adjusting for relevant covariates. Individuals who reported NMUPO prior to medical use had an estimated percentage indicating NMUPO to relieve physical pain that was similar to the estimate for those with medical use prior to NMUPO, and these groups did not differ in the odds of reporting NMUPO to relieve physical pain. On the other hand, individuals who reported NMUPO only and those reporting NMUPO prior to medical use each had expected odds of NMUPO “to feel good or get high” that were approximately four times higher than the odds for those who reported medical use prior to NMUPO.
COMMENT
This study found that approximately 17.6% of U.S. high school seniors report medical use of prescription opioids at least once in their lifetime, while 12.9% of high school seniors report nonmedical use of prescription opioids (NMUPO). Nearly one in every four U.S. high school seniors has had some lifetime exposure to prescription opioids either medically or nonmedically. These prevalence rates are lower than smaller regional-based studies of secondary school students and national studies of adolescents.11,12,17 For example, a study conducted in the Detroit metropolitan area found that 48.9% of high school students reported lifetime medical use of prescription opioids while 20.9% reported lifetime NMUPO.12 Recent evidence indicates that the prevalence of medical and nonmedical use of controlled medications can vary according to geographical location.2,11,12,17 Based on the differences in findings between regional and national studies, it remains critical to monitor medical use and NMUPO at the local, regional, and national levels. These findings serve as a reminder that individual communities should not rely solely on national findings to inform best practices for their local youth. Instead, health professionals and researchers should be encouraged to collect data to learn more about drug use behaviors of local youth and use national findings to benchmark results.
An important contribution of this study was the racial/ethnic differences found with respect to medical use and NMUPO. Although the results of this study indicated that White students were significantly more likely than African-American and Hispanic students to report medical use and NMUPO, previous studies found no such racial/ethnic differences.11,12,17 In this national study, racial/ethnic differences found in NMUPO may be influenced by the racial/ethnic differences in medical availability, especially since between 33% and 40% of high school seniors who reported NMUPO in the past 12 months obtained these medications from their own previous prescription for opioids.8 Furthermore, peers serve as the leading source of diversion for NMUPO among adolescents, which could have contributed to the racial/ethnic differences found in this study.8,10,11 Previous work has documented barriers for receiving prescription opioids among racial minority patients.18-20 For example, pharmacies in minority zip codes (at least 70% minority residents) were 52 times less likely to carry sufficient opioid analgesics than pharmacies in white zip codes (at least 70% white residents) regardless of income.18 Thus, the racial/ethnic differences in medical use and NMUPO observed in this study could be related to the lack of adequate treatment, insufficient availability, diversion, over-prescribing among White populations, and/or under-prescribing among non-White populations.
Although the results of this study found no gender differences in medical use and NMUPO, previous regionally-based studies have found female youth were significantly more likely than male youth to report lifetime medical use and NMUPO.11,12 At least one other national study found no significant gender differences in lifetime NMUPO among individuals 12 to 17 years of age in 2009; 10.0% of girls and 9.3% of boys reported lifetime NMUPO.17 The differences found between national and regional-based studies could be partially attributed to a multitude of variation between studies including but not limited to differences in age of respondents, geographical location, school type (e.g., size and public vs. private), mode of data collection, questionnaire wording, response rate, and consent process.
Another important contribution of this study was that substance use behaviors were more prevalent among individuals who reported any history of NMUPO while those who reported medical use only were not at increased risk for substance use compared to non-users. These findings, along with results from three earlier smaller studies, should provide some reassurance to clinicians that prescription opioids can be safely prescribed to adolescents.11,12,21 A novel finding of this study was that individuals who have a history of NMUPO before they initiate medical use of prescription opioids have elevated rates of substance use behaviors and prescription opioid abuse. There was also compelling evidence that different prescription opioid use histories are associated with different motives for NMUPO. Clearly, prescribers are encouraged to screen patients for potential substance abuse problems, including NMUPO, using a brief screening instrument when assessing the risk for abusing and diverting controlled medications such as prescription opioids. Notably, we found that 80% of nonmedical users with an earlier history of medical use had used prescription opioids from a prescription they had previously. This finding suggests that the quantity of prescription opioids and/or limiting refills should be carefully considered by prescribers and closely monitored to reduce subsequent NMUPO of leftover opioid medication. Prescribers need to be aware that approximately one in eight high school seniors reported NMUPO at least once in their lifetime. Individuals with a legitimate need for opioid analgesics who have a history of NMUPO should not be denied the medication. Instead, careful prescribing, close monitoring and consultation with an addictionologist should be considered for such individuals.
Study strengths and limitations
This study has noteworthy strengths, including a large national sample of high school seniors. Further, this study represents the first attempt to assess the medical use and NMUPO nationally among adolescents. Despite these strengths, there were also limitations that should be considered. First, since the present study consists of secondary analyses, the survey items in the MTF limited what variables could be examined. Furthermore, the MTF study design and measurement differs from other studies and these differences could explain the lower rates of medical use and NMUPO in the MTF relative to other studies.11,12,17 Second, the results cannot be generalized to all adolescents because this sample only included high school seniors and did not include individuals who had dropped out of school or were not present in school on the day of survey administration. Third, the data are subject to potential bias introduced when assessing sensitive behaviors via self-report surveys administered in a school setting. Finally, the cross-sectional nature of the study presented some limitations; longitudinal studies are needed to examine patterns of medical use and NMUPO.
In conclusion, we found that nearly one in every four high school seniors in the U.S. had some lifetime exposure to prescription opioids either medically or nonmedically. Based on the increased risk of substance abuse associated with NMUPO, it appears critical to assess a patient's history of prescription opioid use. One of our findings should be treated very seriously by prescribers of opioids; we found that 80% of nonmedical users with an earlier opioid prescription admitted to using their prescribed opioids nonmedically, presumably because there were pills leftover. Indeed, this study indicates that the quantity of prescription opioids and number of refills prescribed to adolescents should be carefully considered and closely monitored to reduce subsequent nonmedical use of leftover medication.
ACKNOWLEDGEMENTS
The development of this manuscript was supported by a research grants DA024678 and DA031160 from the National Institute on Drug Abuse, National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health. The Monitoring the Future data were collected by a research grant DA01411 from the National Institute on Drug Abuse, National Institutes of Health. The authors would like to thank the Substance Abuse and Mental Health Data Archive for providing access to these data and the anonymous reviewers for their helpful comments on a previous version of this article. Drs. McCabe and West had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
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