The prescription drug abuse epidemic

Motivations for the nonmedical use of prescription drugs in a longitudinal national sample of young adults

INTRODUCTION

People's motivations for nonmedical use of prescription drugs (NMUPD) are not well studied, particularly in longitudinal representative samples. However, understanding which motivations are most popular and how these change over time for specific groups is important to inform interventions for NMUPD.

METHODS

The current study examined how young adults' motives for NMUPD changed over young adulthood, using a nationally representative sample of 12,223 young adults in 36 cohorts (1976-2012) as part of the Monitoring the Future study across three biennial waves (waves 1, 2, 3: modal ages 19/20, 21/22, and 23/24 years). We investigated these young adults' motivations for using stimulants, central nervous system depressants, and opioids when controlling for possible cohort effects. We included sex and college attendance as potential moderators.

RESULTS

Participants commonly reported recreational and self-treatment motivations over time and across drug classes, reporting four to five popular motivations in each drug class. Generalized estimating equations repeated measure analyses revealed relatively stable NMUPD motivations across young adulthood. Participants reported some reductions in experimentation and boredom as motivations for NMUPD and increases in certain self-treatment motivations, depending on prescription drug class. Overall, men were more likely to endorse recreational motivations, whereas women were more likely to endorse self-treatment motivations, though this varied somewhat by prescription drug class. Young adults not enrolled in college courses were more likely to endorse using stimulants nonmedically for different reasons than their peers who were enrolled.

CONCLUSIONS

NMUPD prevention and treatment efforts tailored to the young adult population should include methods to reduce both self-treatment and recreational use and need to consider prescription drug class, sex, and college attendance.

Impact of alcohol and alcohol mixed with energy drinks on non-medical prescription stimulant use in a nationally representative sample of 12th-grade students

BACKGROUND AND OBJECTIVES

Approximately 30% of high school students use energy drinks. Alcohol use and alcohol mixed with energy drink use (AmED) is associated with risky behavior, including non-medical prescription stimulant use. We assessed alcohol-only, AmED and non-medical prescription stimulant use among 12th grade students in the U.S. using a nationally representative secondary data from the 2012 Monitoring the Future Study.

METHODS

Wilcoxon-Mann-Whitney tests and logistic regression analyses were used to determine differences in non-medical prescription stimulant use by students who used alcohol-only versus AmED and to identify covariates of non-medical prescription stimulant use. Pearson-product moment coefficients were used to determine strength of variable relationships.

RESULTS

Significant differences were found in frequency of Ritalin (p < .001, Cohen's d = .23) and Adderall (p < .001, Cohen's d = .32) use between alcohol-only students and AmED students. Greater frequency of AmED use was also associated with greater frequency of Ritalin use (r = .293, p < .001) and Adderall use (r = .353, p < .001). Males (b = .138, OR = 1.148) were more likely to use prescription stimulants non-medically than females.

DISCUSSION AND CONCLUSIONS

This study highlights the need to better understand influences on non-medical prescription stimulant, energy drink and AmED use, as the combined effects of stimulants contained in energy drinks and the depressant effects of alcohol appear to be associated with increased non-medical prescription stimulant use.

SCIENTIFIC SIGNIFICANCE

Research on the influential factors related to energy drinks, alcohol, and non-medical prescription stimulants will help practitioners to more appropriately design prevention and intervention strategies addressing these high-risk behaviors. (Am J Addict 2016;25:378-384).

Wastewater analysis: the mean of the monitoring of frequently prescribed pharmaceuticals in Slovakia

The estimation of medication use is based on the statistical data from pharmacies and hospitals. Excessive use or misuse of some compounds, especially psychoactive medications, has not yet been monitored in Slovakia. Wastewater analysis provides useful data about the medication use and misuse in individual regions. This study is focused on the analysis of 23 substances in the wastewaters of Slovakia. The monitoring programme has included stimulants, opioid and morphine derivatives, benzodiazepines, antidepressants, drug precursors and their metabolites. Urinary markers of these compounds were analysed at WWTP influent in seven regions (Bratislava, Košice, Zvolen, Banská Bystrica, Trenčín, Prešov a Piešťany) using LC-MS/MS technique. The analysis was performed from March to October 2013. The pattern in use of these compounds was also monitored. Tramadol and venlafaxine were found to be the most concentrated compounds among of all studied psychoactive pharmaceuticals. The highest specific loads of tramadol were detected in Piešťany (409 mg/day/1000 inhabitants) and Zvolen (366 mg/day/1000 inhabitants). There is a considerable number of spa facilities (hotels) situated in these cities and this fact contributes to a higher occurrence of these psychoactive compounds in respective wastewaters.

Differentiating patterns of prescription stimulant medical and nonmedical use among youth 10-18 years of age

OBJECTIVE

To assess the past 30-day prevalence of prescription stimulant use, report different forms of nonmedical use, and investigate different characteristics associated with Medical Users Only, Nonmedical Users Only, and youth who reported both medical and nonmedical use (MU+NMU youth).

METHODS

The National Monitoring of Adolescent Prescription Stimulants Study recruited 11,048 youth aged 10-18 years from entertainment venues in 10 US cities.

RESULTS

In this study, 6.8% youth used prescription stimulants in the past 30 days, with 3.0% reporting Medical Use Only (MU Only), 1.1% reporting Both Medical and Nonmedical Use (MU+NMU), and 2.5% reporting Nonmedical Use Only (NMU Only). Use of other's stimulants was the most frequently reported form of nonmedical use (88.4%), followed by using more than prescribed (38.9%), and using outside of the prescribed route (32.2%). Medical Users Only and MU+NMU youth did not differ from Non-Users in cigarette, alcohol, and illicit drug use. MU+NMU youth tended to have more conduct problem behaviors compared to Medical Users Only (p=0.0011) and Nonmedical Users Only (p=0.0132). Compared to MU+NMU youth, Nonmedical Users Only were more likely to have close friends who tried Adderall (p=0.0123), endorse binge drinking (p=0.0118) and illicit drug use (p<0.0015).

CONCLUSIONS

Future research should investigate the sources of the nonmedically used prescription stimulants and how they were diverted. Intervention programs need to acknowledge the differences between MU+NMU youth and Nonmedical Users Only, and employ different strategies to prevent nonmedical use in these subgroups.

Systemic morphine treatment derails normal uterine receptivity, leading to embryo implantation failure in mice

Morphine is the oldest worldwide well-known opioid agonist used for pain treatment in clinic, and its illicit use is often associated with adverse pregnancy outcomes in humans. Because of recent dramatic increases in nonmedicinal morphine abuse, one emerging issue is the further revelation of the dark side of illicit opioid uses, particularly in early pregnancy events. In this respect, we have demonstrated that opioid signaling is functionally operative during preimplantation embryo development in mice. However, the pathophysiological significance of the opioid system on uterine functions at peri-implantation remained elusive. In the present study, we demonstrated that opioid receptors were spatiotemporally expressed in the uterus during the peri-implantation period. Employing a pharmacological approach combined with embryo transfer experiments, we further observed that although systemic morphine treatment exerts no apparent adverse influence on preimplantation ovarian secretion of progesterone and estrogen, this aberrant activation of opioid signaling by morphine induces impaired luminal epithelial differentiation, decreased stromal cell proliferation, and poor angiogenesis, and thus hampers uterine receptivity and embryo implantation. These novel findings add a new line of evidence to better understand the causes for obvious adverse effects of opioid abuse on pregnancy success in women.

Prescription Drug Diversion: Predictors of Illicit Acquisition and Redistribution in Three U.S. Metropolitan Areas

OBJECTIVE

Prescription drug diversion, the transfer of prescription drugs from lawful to unlawful channels for distribution or use, is a problem in the United States. Despite the pervasiveness of diversion, there are gaps in the literature regarding characteristics of individuals who participate in the illicit trade of prescription drugs. This study examines a range of predictors (e.g., demographics, prescription insurance coverage, perceived risk associated with prescription drug diversion) of membership in three distinct diverter groups: individuals who illicitly acquire prescription drugs, those who redistribute them, and those who engage in both behaviors.

METHODS

Data were drawn from a cross-sectional Internet study (N = 846) of prescription drug use and diversion patterns in New York City, South Florida, and Washington, D.C.. Participants were classified into diversion categories based on their self-reported involvement in the trade of prescription drugs. Group differences in background characteristics of diverter groups were assessed by Chi-Square tests and followed up with multivariate logistic regressions.

RESULTS

While individuals in all diversion groups were more likely to be younger and have a licit prescription for any of the assessed drugs in the past year than those who did not divert, individuals who both acquire and redistribute are more likely to live in New York City, not have prescription insurance coverage, and perceive fewer legal risks of prescription drug diversion.

CONCLUSION

Findings suggest that predictive characteristics vary according to diverter group.

Nonmedical prescription drug users in private vs. public substance abuse treatment: a cross sectional comparison of demographic and HIV risk behavior profiles

Background

Little is known regarding the demographic and behavioral characteristics of nonmedical prescription drug users (NMPDUs) entering substance abuse treatment settings, and information on the HIV-related risk profiles of NMPDUs is especially lacking. Participation in substance abuse treatment provides a critical opportunity for HIV prevention and intervention, but successful initiatives will require services appropriately tailored for the needs of NMPDUs.

Methods

This paper compares the HIV risk profiles of NMPDUs in public (n = 246) and private (n = 249) treatment facilities. Participants included in the analysis reported five or more recent episodes of nonmedical prescription drug use, a prior HIV negative test result, and current enrollment in a substance abuse treatment facility. A standardized questionnaire was administered by trained interviewers with questions about demographics, HIV risk, and substance use.

Results

Private treatment clients were more likely to be non-Hispanic White, younger, and opioid and heroin users. Injection drug use was higher among private treatment clients, whereas public clients reported higher likelihood of trading or selling sex. Public treatment clients reported higher rates of HIV testing and availability at their treatment facilities compared to private clients.

Conclusions

Findings suggest differing demographics, substance use patterns, profiles of HIV risk and access to HIV testing between the two treatment samples. Population tailored HIV interventions, and increased access to HIV testing in both public and private substance treatment centers, appear to be warranted.

Age, period and cohort trends in drug abuse hospitalizations within the total Swedish population (1975-2010)

BACKGROUND

The societal consequences of drug abuse (DA) are severe and well documented, the World Health Organization recommending tracking of population trends for effective policy responses in treatment of DA and delivery of health care services. However, to correctly identify possible sources of DA change, one must first disentangle three different time-related influences on the need for treatment due to DA: age effects, period effects and cohort effects.

METHODS

We constructed our main Swedish national DA database (spanning four decades) by linking healthcare data from the Swedish Hospital Discharge Register to individuals, which included hospitalisations in Sweden for 1975-2010. All hospitalized DA cases were identified by ICD codes. Our Swedish national sample consisted of 3078,129 men and 2921,816 women. We employed a cross-classified multilevel logistic regression model to disentangle any net age, period and cohort effects on DA hospitalization rates.

RESULTS

We found distinct net age, period and cohort effects, each influencing the predicted probability of hospitalisation for DA in men and women. Peak age for DA in both sexes was 33-35 years; net period effects showed an increase in hospitalisation for DA from 1996 to 2001; and in birth cohorts 1968-1974, we saw a considerable reduction (around 75%) in predicted probability of hospitalisation for DA.

CONCLUSIONS

The use of hospital admissions could be regarded as a proxy of the population's health service use for DA. Our results may thus constitute a basis for effective prevention planning, treatment and other appropriate policy responses.

Analysis of ten abused drugs in urine by large volume sample stacking-sweeping capillary electrophoresis with an experimental design strategy

A statistical tool equipped with Plackett-Burman design (PBD) and central composite design (CCD) was used for fast stacking analysis of ten frequently consumed drugs, namely codeine, morphine, methamphetamine, ketamine, alprazolam, clonazepam, diazepam, flunitrazepam, nitrazepam and oxazepam, by capillary electrophoresis (CE). This statistical design is expected to help quick analysis with few procedures, avoiding tedious work required because of the large number of variables or parameters. A large volume sample stacking (LVSS)-sweeping CE is developed for concentrating and analyzing the 10 abused drugs. First, phosphate buffer (50 mM, pH 2.3) containing methanol was filled into a capillary and then the extracted urine sample was loaded (1 psi, 200 s) to enhance sensitivity. The sweeping and separating steps were completed simultaneously by phosphate buffer (50 mM, pH 2.3) containing methanol and sodium dodecyl sulfate, within 15 min. Better resolution was obtained by the experimental design than the "one factor at a time" (OFAT) approach. During method validation, calibration plots were linear (r>0.998), over a range of 25-1500 ng/mL for the six benzodiazepines, methamphetamine and ketamine, and 50-3000 ng/mL for codeine and morphine. The RSD of precision and absolute RE of accuracy in intra-day and inter-day assays were below 14.54% and 16.61%, respectively. The minimum limits for detection (S/N=3) of analytes were in the range of 7.5-30 ng/mL. This stacking method increased sensitivity more than 200-fold and can be applied for detection of the presence of methamphetamine in an abuser's urine (3600 ng/mL), which was confirmed by GC-MS. The method is considered feasible for fast screening of abused drugs in urine.