The prospective association between illicit drug use and nonprescription opioid use among vulnerable adolescents.
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ABSTRACT:
SUBMITTER: Pike JR
PROVIDER: S-EPMC7856303 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:To compare illicit drug and smoking use in pregnancies with and without stillbirth.The Stillbirth Collaborative Research Network conducted a case-control study from March 2006 to September 2008, covering more than 90% of deliveries to residents of five a priori-defined geographically diverse regions. The study attempted to include all stillbirths and representative liveborn controls. Umbilical cord samples from cases and controls were collected and frozen for subsequent batch analysis. Maternal serum was collected at delivery and batch analyzed for cotinine.For 663 stillbirth deliveries, 418 (63%) had cord homogenate and 579 (87%) had maternal cotinine assays performed. For 1,932 live birth deliveries, 1,050 (54%) had cord homogenate toxicology and 1,545 (80%) had maternal cotinine assays performed. A positive cord homogenate test for any illicit drug was associated with stillbirth (odds ratio [OR] 1.94, 95% confidence interval [CI] 1.16-3.27). The most common individual drug was cannabis (OR 2.34 95% CI 1.13-4.81), although the effect was partially confounded by smoking. Both maternal self-reported smoking history and maternal serum cotinine levels were associated in a dose-response relationship with stillbirth. Positive serum cotinine less than 3 ng/mL and no reported history of smoking (proxy for passive smoke exposure) also were associated with stillbirth (OR 2.06, 95% CI 1.24-3.41).Cannabis use, smoking, illicit drug use, and apparent exposure to second-hand smoke, separately or in combination, during pregnancy were associated with an increased risk of stillbirth. Because cannabis use may be increasing with increased legalization, the relevance of these findings may increase as well.II.
| S-EPMC3931517 | biostudies-literature
Project description:AimTo assess the role of momentary pain on opioid craving and illicit opioid use among individuals receiving opioid agonist treatment.DesignObservational study using ecological momentary assessment.SettingThe National Institute of Drug Abuse Intramural Research Program in the United States.ParticipantsFifty-six adults who qualified for opioid agonist treatment.MeasurementsParticipants completed randomly prompted assessments of pain severity, stress, negative mood, opioid craving and illicit opioid use for a mean of 66 days [standard deviation (SD) = 27]. Urine samples were collected two to three times/week throughout.FindingsAlmost 70% of participants reported moderate average pain severity in the past 24 hours at intake and 35% of participants reported chronic pain. There were no significant differences in percent of opioid-positive urine samples (P = 0.73) and average level of opioid craving during the study period (P = 0.91) among opioid agonist treatment only patients versus opioid agonist treatment patients with chronic pain. However, momentary pain severity significantly predicted concurrent opioid craving [B = 0.02, 95% confidence interval (CI) = 0.01, 0.04], over and above stress and negative mood. Momentary opioid craving, in turn, significantly predicted illicit opioid use that was assessed in the next moment [odds ratio (OR) = 1.72, 95% CI = 1.12, 2.64), while controlling for autocorrelation and the effects of pain, negative mood and stress. Momentary opioid craving significantly mediated the prospective association between momentary pain and illicit opioid use (95% CI = 0.003, 0.032). Exploratory analysis revealed that momentary pain severity also significantly moderated the momentary association between stress and opioid craving (B = 0.02, 95% CI = 0.00, 0.04), such that when momentary pain severity increased, the association between the two intensified.ConclusionsAmong people receiving opioid agonist treatment, momentary pain appears to be indirectly associated with illicit opioid use via momentary opioid craving.
| S-EPMC8137724 | biostudies-literature
Project description:AimsTo compare the effects of a short or long taper schedule after buprenorphine stabilization on participant outcomes as measured by opioid-free urine tests at the end of each taper period.DesignThis multi-site study sponsored by Clinical Trials Network (CTN, a branch of the US National Institute on Drug Abuse) was conducted from 2003 to 2005 to compare two taper conditions (7 days and 28 days). Data were collected at weekly clinic visits to the end of the taper periods, and at 1-month and 3-month post-taper follow-up visits.SettingEleven out-patient treatment programs in 10 US cities.InterventionNon-blinded dosing with Suboxone during the 1-month stabilization phase included 3 weeks of flexible dosing as determined appropriate by the study physicians. A fixed dose was required for the final week before beginning the taper phase.MeasurementsThe percentage of participants in each taper group providing urine samples free of illicit opioids at the end of the taper and at follow-up.FindingsAt the end of the taper, 44% of the 7-day taper group (n = 255) provided opioid-free urine specimens compared to 30% of the 28-day taper group (n = 261; P = 0.0007). There were no differences at the 1-month and 3-month follow-ups (7-day = 18% and 12%; 28-day = 18% and 13%, 1 month and 3 months, respectively).ConclusionFor individuals terminating buprenorphine pharmacotherapy for opioid dependence, there appears to be no advantage in prolonging the duration of taper.
| S-EPMC3150159 | biostudies-literature
Project description:Importance:Prior studies have found a substantial risk of persistent opioid use among adolescents and young adults undergoing surgical and dental procedures. It is unknown whether family-level factors, such as long-term opioid use in family members, is associated with persistent opioid use. Objective:To determine whether long-term opioid use in family members is associated with persistent opioid use among opioid-naive adolescents and young adults undergoing surgical and dental procedures. Design, Setting, and Participants:This retrospective cohort study used data from a commercial insurance claims database for January 1, 2010, to June 30, 2016, to study 346 251 opioid-naive patients aged 13 to 21 years who underwent 1 of 11 surgical and dental procedures and who were dependents on a family insurance plan. Exposures:Long-term opioid use in family members, defined as having 1 or more family members who (1) filled opioid prescriptions totaling a 120 days' supply or more during the 12 months before the procedure date or (2) filled 3 or more opioid prescriptions in the 90 days before the procedure date. Main Outcomes and Measures:The main outcome measure was persistent opioid use, defined as 1 or more postoperative prescription opioid fills between 91 and 180 days among patients with an initial opioid prescription fill. Generalized estimating equations with robust SEs clustered at the family level were used to model persistent opioid use as a function of long-term opioid use among family members, controlling for procedure, total morphine milligram equivalents of the initial fill, and patient and family characteristics. Results:A total of 346 251 patients (mean [SD] age, 17.0 [2.3] years; 175 541 [50.7%] female) were studied. Among these patients, 257 085 (74.3%) had an initial opioid fill. Among patients with an initial opioid fill, 11 016 (4.3%) had long-term opioid use in a family member. Persistent opioid use occurred in 453 patients (4.1%) with long-term opioid use in a family member compared with 5940 patients (2.4%) without long-term opioid use in a family member (adjusted odds ratio, 1.54; 95% CI, 1.39-1.71). Conclusion and Relevance:The findings suggest that long-term opioid use among family members is associated with persistent opioid use among opioid-naive adolescents and young adults undergoing surgical and dental procedures. Physicians should screen young patients for long-term opioid use in their families and implement heightened efforts to prevent opioid dependence among patients with this important risk factor.
| S-EPMC6484797 | biostudies-literature
Project description:ObjectiveTo estimate the self-reported prevalence of prescription opioid use and illicit drug use in the United States.MethodsSelf-reported prescription opioid use and illicit drug use (mostly nonopioid) were obtained for adults and adult workers (NHANES 2005-2016).ResultsPrevalence (95% CI) of prescription opioid use was 6.5% (6.0-7.0) (adults) and 4.1% (3.7-4.5) (workers). Prevalence of illicit drug use was 9.5% (8.8-10.1) (adults) and 10.2% (9.4-11.1) (workers). Among occupations, prevalence of prescription opioid use was highest in personal care (6.5%; 4.1-10.4) and healthcare practitioners (5.9%; 3.8-9.0); for illicit drug use, construction/extraction (18.0%; 15.1-21.3) and food preparation (15.8%; 12.5-19.7).ConclusionThe prevalence of prescription opioid use was elevated among some occupations. Judicious prescription strategies and targeted interventions are both needed. The prevalence of illicit drug use among certain occupational groups suggests the need to ensure access to therapy.
| S-EPMC9136916 | biostudies-literature
Project description:BackgroundSubstance use disorders negatively affect global disease burden. Effective preventive interventions are available, but whether they provide value for money is unclear.AimsThis review looks at the cost-effectiveness evidence of preventive interventions for cannabis use, opioid misuse and illicit drug use.MethodLiterature search was undertaken in Medline, CINAHL, PsycINFO, EconLit through EBSCOhost and EMBASE, up to May 2021. Grey literature search was conducted as supplement. Studies included were full economic evaluations or return-on-investment (ROI) analyses for preventing opioid misuse, cannabis and illicit drug use. English-language restriction was used. Outcomes extracted were incremental cost-effectiveness ratios (ICER) or ROI ratios, with costs presented in 2019 United States dollars. Quality was assessed with the Drummond checklist.ResultsEleven full economic evaluation studies were identified from 5674 citations, with all studies conducted in high-income countries. Most aimed to prevent opioid misuse (n = 4), cannabis (n = 3) or illicit drug use (n = 5). Modelling was the predominant methodology (n = 7). Five evaluated school-based universal interventions targeting children and adolescents (aged <18 years). Five cost-benefit studies reported cost-savings. One cost-effectiveness and two cost-utility analysis studies supported the cost-effectiveness of interventions, as ICERs fell under prespecified value-for-money thresholds.ConclusionsThere are limited economic evaluations of preventive interventions for opioid misuse, cannabis and illicit drug use. Family-based intervention (ParentCorps), school-based interventions (Social and Emotional Training and Project ALERT) and a doctor's programme to assess patient risk of misusing narcotics ('the Network System to Prevent Doctor-Shopping for Narcotics') show promising cost-effectiveness and warrant consideration.
| S-EPMC10594094 | biostudies-literature
Project description:Objectives: There is limited information about the applicability and effectiveness of tobacco and illicit drug use interventions in urban and racial/ethnic minority youth, a population with great need for prevention of alcohol and drug use. We pilot-tested the feasibility of a behavioral intervention to reduce alcohol, tobacco, and illicit drug use among urban young adults in New Orleans, Louisiana. Study Design: The 12-week intervention pilot project was developed to be implemented at a community-based social service organization that provides educational, juvenile justice-related case management, and mentoring services to youth with substance use and incarceration histories. Methods: One-hour intervention sessions included interactive discussions and lesson reviews guided by a health educator and peer facilitators. Recruitment was done by case managers. Thirty African American young adults aged 16-21 years participated between January 2016 and July 2017. Results: We were able to adapt the 14-session intervention to a 12-session, weekly curriculum that was well-received by the target population. Average rating for each session was 9.5 ± 0.3 (scale 0-10). Youth were willing to engage in the program, but retention was low. Rates of alcohol and drug use were significantly higher within our pilot population than national estimates. We found no significant decreases in self-reported alcohol, tobacco, or illicit drug use after participation in the intervention. Conclusion: Results emphasize the need to devote additional educational resources to intervention and retention factors for vulnerable youth. Individuals often experiment with drugs during adolescence; thus, this period represents a prime opportunity for education and intervention.
| S-EPMC7379478 | biostudies-literature
Project description:ImportanceThere is concern that nonmedical prescription opioid use is associated with an increased risk of later heroin use initiation in adolescents, but to our knowledge, longitudinal data addressing this topic are lacking.ObjectiveTo determine whether nonmedical prescription opioid use is associated with subsequent initiation of heroin use in adolescents.Design, setting, and participantsThis prospective longitudinal cohort study conducted in 10 high schools in Los Angeles, California, administered 8 semiannual surveys from 9th through 12th grade that assessed nonmedical prescription opioid use, heroin use, and other factors from October 2013 to July 2017. Students were baseline never users of heroin recruited through convenience sampling. Cox regression models tested nonmedical prescription opioid use statuses at survey waves 1 through 7 as a time-varying and time-lagged regressor and subsequent heroin use initiation across waves 2 to 8 as the outcome.ExposuresSelf-reported nonmedical prescription opioid use (past 30-day [current] use vs past 6-month [prior] use without past 30-day use vs no past 6-month use) at each wave from 1 to 7.Main outcomes and measuresSelf-reported heroin use initiation (yes/no) during waves 2 to 8.ResultsOf 3298 participants, 1775 (53.9%) were adolescent girls, 1563 (48.3%) were Hispanic, 548 (17.0%) were Asian, 155 (4.8%) were African American, 529 (16.4%) were non-Hispanic white, and 220 (6.8%) were multiracial. Among baseline never users of heroin in ninth grade with valid data (3298 [97% of cohort enrollees]; mean [SD] age, 14.6 [0.4] years), the number of individuals with outcome data available at each follow-up ranged from 2987 (90.6%) to 3200 (97.0%). The mean per-wave prevalence of prior and current nonmedical prescription opioid use from waves 1 to 7 was 1.9% and 2.7%, respectively. Seventy students (2.1%) initiated heroin use during waves 2 to 8. Prior vs no (hazard ratio, 3.59; 95% CI, 2.14-6.01; P < .001) and current vs no (hazard ratio, 4.37; 95% CI, 2.80-6.81; P < .001) nonmedical prescription opioid use were positively associated with subsequent heroin use initiation. For no, prior, and current nonmedical prescription opioid use statuses at waves 1 to 7, the estimated cumulative probabilities of subsequent heroin use initiation by wave 8 (42-month follow-up) were 1.7%, 10.7%, and 13.1%, respectively. In covariate-adjusted models, associations were attenuated but remained statistically significant and current nonmedical prescription opioid use risk estimates were stronger than corresponding associations of nonopioid substance use with subsequent heroin use initiation.Conclusions and relevanceNonmedical prescription opioid use was prospectively associated with subsequent heroin use initiation during 4 years of adolescence among Los Angeles youth. Further research is needed to understand whether this association is causal.
| S-EPMC6618794 | biostudies-literature
Project description:ObjectiveTo estimate the impact of implementing prescription drug monitoring program (PDMP) best practices on prescription opioid use.Data sources2007-2012 Medicare claims for noncancer pain patients, and PDMP attributes from the Prescription Drug Abuse Policy System.Study designWe derived PDMP composite scores using the number of best practices adopted by states (range: 0-14), classifying states as either no PDMP, low strength (0 < score < median), or high strength (score ≥ median). Using generalized linear models, we quantified the association between the PDMP score category and opioid use measures-overall and stratified by disability/age. Sensitivity analyses assessed the general Medicare sample regardless of pain diagnoses, individual PDMP characteristics, and compared GEE model findings to models with state fixed effects.Principal findingsCompared to non-PDMP states, strong PDMP states had lower opioid cumulative doses (-296 mg; 95% CI: -512, -132), days supplied (-7.84; 95% CI: -10.6, -5.04), prescription fill rates (0.97; 95% CI: 0.95, 0.98), and mean daily doses (-2.31 mg; 95% CI: -3.14, -1.48) but greater prevalence of high opioid doses in disabled adults, whereas there was little or no change in older adults. Findings in states with weak PDMPs were substantively similar to those of strong PDMPs. Results from sensitivity analyses were mostly consistent with main findings except there was a null relationship with mean daily doses and high doses in models with state fixed effects.ConclusionsComprehensive or minimal adoption of PDMP best practices was associated with mostly comparable effects on Medicare beneficiaries' opioid use; however, these effects were concentrated among nonelderly disabled adults.
| S-EPMC6736920 | biostudies-literature
Project description:OBJECTIVE:To assess the impact of illicit drug use on health-related quality of life (health utility) among opioid-dependent HIV-infected patients. DESIGN:Secondary analyses of data from the Buprenorphine-HIV Evaluation and Support cohort of HIV-infected patients with opioid dependence in 9 US HIV clinics between 2004 and 2009. Health status [short form-12 (SF-12)], combination antiretroviral treatment (ART) status, CD4 cell count, hepatitis C virus antibody status, current drug use, and demographics were assessed at the initial visit and quarterly follow-up visits until 1 year. The SF-6D health utility scores were derived from the SF-12. Multivariate mixed-effects regression models were used to assess the impact of illicit drug use on health utility controlling for demographic, clinical, and social characteristics. RESULTS:Health utility was assessed among 307 participants, 67% male, with a median age of 46 years at 1089 quarterly assessments. In multivariate analyses, illicit opioid use, nonopioid illicit drug use, not being on ART, and being on ART with poor adherence were associated with lower health utility. The observed decrement in health utility associated with illicit opioid use was larger for those on ART with good adherence (beta = -0.067; P < 0.01) or poor adherence (-0.049; P < 0.01) than for those not on ART. CONCLUSIONS:Illicit opioid and nonopioid drug use are negatively associated with health utility in patients with HIV; however, the relative effect of illicit opioid use is smaller than that of not being on ART. Postponing ART until initiation of opioid substitution therapy or abstinence may have limited benefits from the perspective of maximizing health utility.
| S-EPMC4607646 | biostudies-literature