scholarly journals P068 STD screening and diagnosis among 15–24 year old diagnosed with prescription opioid related disorder

Author(s):  
Chirag Patel ◽  
Kendra Cuffe ◽  
Guoyu Tao
2020 ◽  
pp. 1-7
Author(s):  
Julian Santaella-Tenorio ◽  
Silvia S. Martins ◽  
Magdalena Cerdá ◽  
Mark Olfson ◽  
Katherine M. Keyes

Abstract Background Since 1999, the rate of fatal prescription opioid overdoses and of suicides has dramatically increased in the USA. These increases, which have occurred among similar demographic groups, have led to the hypothesis that the opioid epidemic contributed to increases in suicidal behavior, though the underlying association remains poorly defined. We examine the association between nonmedical use of prescription opioids/opioid use disorder and suicidal ideation/attempts. Methods We used longitudinal data from a national representative sample of the US adult population, the National Epidemiologic Survey on Alcohol and Related Conditions. Participants (n = 34 653) were interviewed in 2001–2002 (wave 1) and re-interviewed approximately 3 years later (wave 2). A propensity score analysis estimated the association between exposure to prescription opioids at wave 1 and prevalent/incident suicidal behavior at wave 2. Results Heavy/frequent (⩾2–3 times a month) prescription opioid use was associated with prevalent suicide attempts [adjusted risk ratio (ARR) = 2.75, 95% CI 1.35–5.60]. Prescription opioid use disorder was associated with prevalent (ARR = 1.98, 95% CI 1.20–3.28) and incident suicidal ideation (ARR = 2.59, 95% CI 1.25–5.37), and prevalent attempts (ARR = 4.19, 95% CI 1.71–10.27). None of the exposures was associated with incident suicide attempts. Conclusions Heavy/frequent opioid use and related disorder were associated with prevalent suicide attempts; opioid use disorder was also associated with the incident and prevalent suicidal ideation. Given population increases in nonmedical use of prescription opioids and disorder, the opioid crisis may have contributed to population increases in suicidal ideation.


2018 ◽  
Vol 49 (S 01) ◽  
pp. S1-S12
Author(s):  
E. Nicolai ◽  
C. Gobert ◽  
Y. Snazjer ◽  
P. Clapuyt ◽  
M. Nassogne ◽  
...  
Keyword(s):  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1518-P
Author(s):  
CARRIE J. SZABLOWSKI ◽  
EMILY SUSCHA ◽  
KADDY DAVIS ◽  
CHARLES Z. XIE ◽  
KEITH MOSKOWITZ ◽  
...  

2020 ◽  
Author(s):  
Genevieve Fullerton Dash ◽  
Nicholas G. Martin ◽  
Arpana Agrawal ◽  
Michael Lynskey ◽  
Wendy S. Slutske

Background. Drug classes are grouped based on their chemical and pharmacological properties, but prescription and illicit drugs differ in other important ways. Opioid and stimulant classes contain prescription and illicit forms differentially associated with salient risk factors (common route of administration, legality), making them useful comparators for examining the potential differences in the etiological influences on (mis)use of prescription and illicit drugs. Methods. 2,410 individual Australian twins (Mage=31.77 [SD=2.48]; 67% women) were interviewed about prescription misuse and illicit use of opioids and stimulants. Univariate and bivariate biometric models partitioned variances and covariances into additive genetic, shared environmental, and unique environmental influences across drug types. Results. Variation in the propensity to misuse prescription opioids was primarily attributable to genes (37%) and unique environment (59%). Illicit opioid use was attributable to shared (71%) and unique (29%) environment. Prescription stimulant misuse was primarily attributable to genes (78%) and unique environment (21%). Illicit stimulant use was influenced by genes (48%), and shared (29%) and unique environment (23%). There was evidence for genetic influence common to both stimulant types, but limited evidence for genetic influence common to both opioid types. Conclusions. Prescription opioid misuse may share little genetic influence with illicit opioid use. Future research may consider avoiding unitary drug classifications, particularly when examining genetic influences.


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