scholarly journals High Rates of Tramadol Use among Treatment-Seeking Adolescents in Malmö, Sweden: A Study of Hair Analysis of Nonmedical Prescription Opioid Use

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Martin O. Olsson ◽  
Agneta Öjehagen ◽  
Louise Brådvik ◽  
Robert Kronstrand ◽  
Anders Håkansson

Background. Nonmedical prescription opioid use (NMPOU) is a growing problem and tramadol has been suggested as an emerging problem in young treatment-seeking individuals. The aim of the present study was to investigate, through hair analysis, NMPOU in this group and, specifically, tramadol use. Methods. In a study including 73 treatment-seeking adolescents and young adults at an outpatient facility for young substance users, hair specimens could be obtained from 59 subjects. Data were extracted on sociodemographic background variables and psychiatric diagnoses through MINI interviews. Results. In hair analysis, tramadol was by far the most prevalent opioid detected. Thirty-two percent screened positive for opioids, and of those, all but one were positive for tramadol. Ninety-eight percent reported problematic cannabis use. Significantly more opioid-positive patients also screened positive for other (noncannabis) drugs, compared to nonopioid users. Sixty-four percent fulfilled criteria of DSM-IV psychiatric disorders, other than substance use disorders according to MINI. Fifty-three percent met the symptom criteria count of ADHD above cut-off level. Conclusion. In the present setting, tramadol, along with high rates of cannabis use, may represent a novel pattern of substance use among young treatment-seeking subjects with problematic substance use and high rates of concurrent psychiatric problems.

2018 ◽  
Vol 175 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Mark Olfson ◽  
Melanie M. Wall ◽  
Shang-Min Liu ◽  
Carlos Blanco

2014 ◽  
Vol 145 ◽  
pp. 121-126 ◽  
Author(s):  
R. Kathryn McHugh ◽  
Garrett M. Fitzmaurice ◽  
Kathleen M. Carroll ◽  
Margaret L. Griffin ◽  
Kevin P. Hill ◽  
...  

2013 ◽  
Vol 131 (1-2) ◽  
pp. 143-148 ◽  
Author(s):  
Carlos Blanco ◽  
Miren Iza ◽  
Robert P. Schwartz ◽  
Claudia Rafful ◽  
Shuai Wang ◽  
...  

2020 ◽  
Vol 3 ◽  
Author(s):  
Alexandra Hochstetler ◽  
Ashley Vetor ◽  
Jodi Raymond ◽  
Hannah Bozell ◽  
Teresa Bell

Background: Nearly 150,000 children were hospitalized due to an injury in 2018. Hospitalized patients are often prescribed opioids and as a result, one in eight adolescents will continue using opioids twelve months after hospitalization. Predictors of sustained opioid use and future misuse posthospitalization have yet to be studied in adolescents. One of these predictors may be mental health disorders following hospitalization. It is known mental health disorders can lead to substance use disorders if not addressed properly. In this study we examined the associations between injury severity, mental health, and substance use among adolescents.     Methods: Patients between 12 to 18 years old admitted for trauma were surveyed upon enrollment, and subsequently at 1, 3, 6, and 12 months posthospitalization. These surveys measured anxiety, depression, posttraumatic stress, prescription and non-prescription drug use, pain severity and pain interference.   Results: At enrollment and one-month posthospitalization, higher pain interference was associated with anxiety (p=.003), depression (p<.001), and PTSD (p=.004). Increased pain severity was also associated with higher PTSD (p=.003) However, at three months, pain severity and interference were only associated with PTSD (p=.005, p=.009). Frequent alcohol use and higher PTSD were found to be statistically significant at six and twelve months (p=.02). Regular prescription opioid use was related to higher anxiety (p=.048) and depression (p=.048) only at enrollment and higher PTSD only at one month (p=.034). Prescription opioid use was not associated with pain severity and interference at enrollment but was found significant at one month (p=.016, p=.36).    Conclusion: Adolescents who reported higher pain severity and interference also more commonly had mental health disorders such as PTSD, anxiety, and depression. Higher PTSD scores and frequent alcohol use were also related post-injury. Screening for mental health after hospitalization should be further investigated in identifying adolescents who may be at risk for future opioid use disorders. 


2011 ◽  
Vol 42 (6) ◽  
pp. 1261-1272 ◽  
Author(s):  
S. S. Martins ◽  
M. C. Fenton ◽  
K. M. Keyes ◽  
C. Blanco ◽  
H. Zhu ◽  
...  

BackgroundNon-medical use of prescription opioids represents a national public health concern of growing importance. Mood and anxiety disorders are highly associated with non-medical prescription opioid use. The authors examined longitudinal associations between non-medical prescription opioid use and opioid disorder due to non-medical opioid use and mood/anxiety disorders in a national sample, examining evidence for precipitation, self-medication and general shared vulnerability as pathways between disorders.MethodData were drawn from face-to-face surveys of 34 653 adult participants in waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. Logistic regression models explored the temporal sequence and evidence for the hypothesized pathways.ResultsBaseline lifetime non-medical prescription opioid use was associated with incidence of any mood disorder, major depressive disorder (MDD), bipolar disorder, any anxiety disorder and generalized anxiety disorder (GAD in wave 2, adjusted for baseline demographics, other substance use, and co-morbid mood/anxiety disorders). Lifetime opioid disorder was not associated with any incident mood/anxiety disorders. All baseline lifetime mood disorders and GAD were associated with incident non-medical prescription opioid use at follow-up, adjusted for demographics, co-morbid mood/anxiety disorders, and other substance use. Baseline lifetime mood disorders, MDD, dysthymia and panic disorder were associated with incident opioid disorder due to non-medical prescription opioid use at follow-up, adjusted for the same covariates.ConclusionsThese results suggest that precipitation, self-medication as well as shared vulnerability are all viable pathways between non-medical prescription opioid use and opioid disorder due to non-medical opioid use and mood/anxiety disorders.


2021 ◽  
Vol 6 ◽  
Author(s):  
Ana Ventuneac ◽  
Gavriella Hecht ◽  
Emily Forcht ◽  
Bianca A. Duah ◽  
Shafaq Tarar ◽  
...  

Persons with HIV (PWH) are a population at risk for adverse sequelae of opioid use. Yet, few studies have examined correlates of chronic high risk opioid use and its impact on HIV outcomes. Trends in prescribing patterns and identification of factors that impact the use of opioid prescriptions among PWH are crucial to determine prevention and treatment interventions. This study examined electronic medical records (EMR) of patients receiving HIV care to characterize prescribing patterns and identify risk factors for chronic high risk prescription opioid use and the impact on HIV outcomes among PWH in primary care from July 1, 2016–December 31, 2017. EMR were analyzed from 8,882 patients who were predominantly male and ethnically and racially diverse with half being 50 years of age or older. The majority of the 8,744 prescriptions (98% oral and 2% transdermal preparations) given to 1,040 (12%) patients were oxycodone (71%), 8% were morphine, 7% tramadol, 4% hydrocodone, 4% codeine, 2% fentanyl, and 4% were other opioids. The number of monthly prescriptions decreased about 14% during the study period. Bivariate analyses indicated that most demographic and clinical variables were associated with receipt of any opioid prescription. After controlling for patient socio-demographic characteristics and clinical factors, the odds of receipt of any prescription were higher among patients with pain diagnoses and opioid use and mental health disorders. In addition, the odds of receipt of high average daily morphine equivalent dose (MED) prescriptions were higher for patients with pain diagnoses. Lastly, patients with substance use disorders (SUD) had an increased likelihood of detectable viral load compared to patients with no SUD, after adjusting for known covariates. Our findings show that despite opioid prescribing guidelines and monitoring systems, additional efforts are needed to prevent chronic high risk prescriptions in patients with comorbid conditions, including pain-related, mental health and substance use disorders. Evidence about the risk for chronic high risk use based on prescribing patterns could better inform pain management and opioid prescribing practices for patients receiving HIV care.


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