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Official websites use. Share sensitive information only on official, secure websites. Corresponding author: Shruti H. Department of Epidemiology. Baltimore, MD Prescription drug misuse and its consequences e. Here we describe the use, correlates, and sources of prescription drugs in a community-based cohort of people who inject drugs PWID. PWID reporting prescription drug use from medical and non-medical sources were significantly more likely to report other substance use, mental health disorder, and recent contact with health care providers or detoxification facilities. Prescription drug use was highly prevalent among PWID. While it is difficult to distinguish medically indicated from non-medical use, high levels of prescription drug use in conjunction with other drugs and alcohol heightens the risk for drug overdose and other adverse consequences. Over the last two decades, misuse of prescription psychotherapeutic drugs including opioid analgesics, tranquilizers, sedatives and stimulants and the related adverse health consequences have reached epidemic proportions in the United States Centers for Disease Control and Prevention, In , an estimated 6. Related to this, there have been notable increases in prescription drug abuse-related deaths, emergency room and outpatient clinic visits, and hospital admissions, leading to an accompanying significant rise in health care costs Centers for Disease Control and Prevention, Johnson et al. On the other hand, for people who inject drugs PWID prescription drugs may be considered a safer and more predictable alternative to illicit street drugs as they are legal and consistently formulated. A prior report from our cohort of PWID in Baltimore described the street acquisition and presumed misuse of prescription drugs, which was strongly linked to use of other substances, such as alcohol, marijuana, or injection drugs Khosla et al. This report was limited in that it did not consider alternative sources for obtaining prescription drugs including medical and non-medical sources. It is well recognized that there are multiple behaviors that contribute to the misuse of prescription drugs, even those obtained with a legitimate prescription. With this analysis, we build upon our prior report from Baltimore by further characterizing prescription drug use and adding important information on sources for obtaining prescription drugs in a cohort of current and former PWID in an urban setting in the United States. After the initial recruitment of participants through extensive community outreach in —, subsequent enrollments occurred in —, , , and — using similar methods. We place flyers at locations frequented by PWID including opioid treatment programs, syringe service programs, HIV clinics and federally qualified health centers, and study staff participate in health fairs and other community activities. In addition, we rely on word-of-mouth referrals from existing participants. We included participants who were in follow-up after the implementation of a new survey with detailed questions on prescription drug use in January Throughout , the active cohort included participants, of whom were excluded from the analysis due to missing data on key covariates, leaving for the analysis. Participants were asked about the types of prescription drugs used opiates, sedatives, tranquilizers, stimulants and hallucinogens , the route of use injection vs. All questions reflected behaviors in the prior six months. Exposure variables such as socio-demographic characteristics, health conditions and healthcare utilization were assessed either by structured interviewer-administered questionnaires or, in the case of sensitive risk behavioral information, by ACASI Macalino et al. Two primary outcomes were examined independently: use of prescription opioids and use of sedatives or tranquilizers as a combined outcome , respectively. Stimulants and hallucinogens were not examined due to low frequency of use in the given time period. Bivariate analyses chi-square test or Fisher exact test and logistic regression were used to assess the strength of association between selected explanatory variables and the two outcomes. Likelihood ratio LR tests were performed to assess and optimize the goodness of fit for both models. In the case of variables that reflected a similar construct, the selection was based on either the strongest point estimate or the most clinically meaningful variable. Age, gender and ethnicity were retained in the adjusted model regardless of their statistical significance. Tobacco use was highly prevalent, and thus not included in substance use patterns. Of the included study participants, Overall, current injection drug use as defined by active injection in the prior 6 months was reported by Regular alcohol consumption and tobacco use was reported by Among HIV-infected persons, As shown in Table 1 , persons Eighty-three participants The three groups did not differ with respect to health insurance or prescription plan coverage. Overall, among the persons reporting any prescription drug use, Of the participants exclusively using medical sources, Among the people using prescription opiates, Of the 56 individuals indicating at least one non-medical source, Table 3 shows the unadjusted correlates of prescription drug use, stratified by drug type. Overall, use was less common among men OR 0. Prescription drug use was significantly more common among those reporting other substance use, such as alcohol or marijuana OR 2. Prescription drug use was also more common among participants who reported having been treated for a mental health disorder OR 2. Interestingly, there was no association between prescription drug use and general health care access, as measured by health insurance coverage and current prescription drug plan; however, prescription opiate use was more common in those reporting a usual source of care and a consistent health care provider OR 2. However, after adjustment, associations of non-medical prescription drug use with mental health conditions such as depression, anxiety disorder and manic depression were no longer significant. Our study demonstrated that nearly a third of this population of urban current and former PWID reported use of prescription drugs, many of whom were using prescription opiates, sedatives and tranquilizers while also using illicit drugs. In addition to this strong association between use of prescription drugs and use of other illicit drugs, persons who used prescription drugs were also more likely to have mental health conditions, and recent interactions with a health care provider. These results build upon prior findings from this cohort on street-acquired prescription drug use Khosla et al. While the prevalence of prescription drug use among PWID in urban settings in the US has been consistently higher than what has been reported in the general population Lankenau et al. This is particularly noteworthy, as it differs from the traditional composition of our study population which is predominantly African-American, male and older with a median age of 55 years. Given the underrepresentation of white, younger, female PWID in our sample, the true prevalence of prescription drug misuse among PWID in Baltimore may be greater than estimated in our study. Similar to prior work Huang et al. These associations combined with associations observed between use of prescription drugs and recent mental health diagnosis may indicate at least some medically indicated use. On the other hand, while the majority of prescription drugs were obtained from medical sources in this population, we cannot rule out misuse of drugs acquired through a medical source given some of the associations observed. Prior work has demonstrated that legitimate prescriptions may be an important source of misuse, reflected in frequent changes of health care providers e. In our data, this was supported by the strong association between prescription drug use and frequent emergency room visits, even though a high percentage of the participants reported seeing mostly the same physician Bouland et al. Moreover, a non-trivial proportion of our sample acquired prescription drugs from a non-medical source including friends, family members or on the street. Prescription drug use in general was also more common among people who also reported other drug use, including alcohol and marijuana, and particularly among those who reported cocaine or heroin use. Thus, although we cannot draw definitive conclusions about medically vs. The situation is likely even more complicated in populations with a history of active injection of heroin and or cocaine as some might be using prescription drugs for self-treatment of withdrawal and others may be self-medicating for pain, depression or other somatic symptoms Nelson et al. Moreover, the high levels of use among those using and injecting illicit drugs including heroin and cocaine heightens the risk for overdose and other adverse outcomes in this population. This study has important limitations: Due to the cross-sectional study design, we cannot establish temporality or causality of the observed associations. Moreover, our outcome represents a composite of use and misuse because we cannot definitively differentiate between medical use of prescription drugs and misuse among those who acquired drugs from a medical source. These limitations notwithstanding, our results provide evidence that there is need for detailed assessment of prescription drug use in the context of polysubstance use patterns in this disproportionally affected population. Coordinated, multifaceted and comprehensive approaches are needed to successfully address the opioid epidemic. Due to the chronic, relapsing nature of drug addiction, long-term recovery is the best possible and desirable outcome Huang et al. Gaining more insight into the sources, drug-seeking behavior, and correlates for prescription drug misuse may help to close the gap between prevention and management of prescription drug misuse, especially in the highly vulnerable population of PWID. The funders had no role in the study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication. A special acknowledgement goes to the staff and study participants of the ALIVE study, without whom this analysis would not have been possible. AA and SHM conceptualized the manuscript, conducted the analysis and drafted the initial report. AGA assisted with the analysis. All authors approved the final version for the manuscript. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. This section collects any data citations, data availability statements, or supplementary materials included in this article. As a library, NLM provides access to scientific literature. Addict Behav. Published in final edited form as: Addict Behav. Find articles by Alexia Anagnostopoulos. Find articles by Alison G Abraham. Find articles by Becky L Genberg. Find articles by Gregory D Kirk. Find articles by Shruti H Mehta. Issue date Jun. PMC Copyright notice. The publisher's version of this article is available at Addict Behav. Open in a new tab. Contributors AA and SHM conceptualized the manuscript, conducted the analysis and drafted the initial report. Conflict of Interest All authors declare that they have no conflicts of interest. Similar articles. Add to Collections. Create a new collection. Add to an existing collection. Choose a collection Unable to load your collection due to an error Please try again. Add Cancel.
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