Psychedelic use is associated with reduced daily opioid use among people who use illicit drugs in a Canadian setting

2022 ◽  
Vol 100 ◽  
pp. 103518
Author(s):  
Elena Argento ◽  
M. Eugenia Socias ◽  
Kanna Hayashi ◽  
JinCheol Choi ◽  
Lindsay Mackay ◽  
...  
Keyword(s):  
Illicit Drugs ◽  
Opioid Use ◽  
Canadian Setting

Identification of Distinct Etiologies across Prescription Misuse and Illicit Drug Use: Opioids and Stimulants Compared

2020 ◽  
Author(s):  
Genevieve Fullerton Dash ◽  
Nicholas G. Martin ◽  
Arpana Agrawal ◽  
Michael Lynskey ◽  
Wendy S. Slutske
Keyword(s):  
Illicit Drugs ◽  
Genetic Influence ◽  
Prescription Opioid ◽  
Future Research ◽  
Opioid Use ◽  
Stimulant Use ◽  
Drug Classes ◽  
Illicit Use ◽  
Prescription Opioid Misuse ◽  
Illicit Opioid Use

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.

Are prescription misuse and illicit drug use etiologically distinct? A genetically-informed analysis of opioids and stimulants

2021 ◽  
pp. 1-8
Author(s):  
Genevieve F. Dash ◽  
Nicholas G. Martin ◽  
Arpana Agrawal ◽  
Michael T. Lynskey ◽  
Wendy S. Slutske
Keyword(s):  
Illicit Drugs ◽  
Environmental Influences ◽  
Genetic Influence ◽  
Prescription Opioid ◽  
Future Research ◽  
Shared Environment ◽  
Opioid Use ◽  
Stimulant Use ◽  
Prescription Opioid Misuse ◽  
Illicit Opioid Use

Abstract Background Drug classes are grouped based on their chemical and pharmacological properties, but prescription and illicit drugs differ in other important ways. Potential differences in genetic and environmental influences on the (mis)use of prescription and illicit drugs that are subsumed under the same class should be examined. 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 addressing this etiological issue. Methods A total of 2410 individual Australian twins [Mage = 31.77 (s.d. = 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 attributable to genes (41%) and unique environment (59%). Illicit opioid use was attributable to shared (71%) and unique (29%) environment. Prescription stimulant misuse was attributable to genes (79%) and unique environment (21%). Illicit stimulant use was attributable to genes (48%), shared environment (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. Bivariate correlations suggested that prescription opioid use may be more genetically similar to prescription stimulant use than to illicit opioid use. 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.

scholarly journals Income generation and attitudes towards addiction treatment among people who use illicit drugs in a Canadian setting

2017 ◽  
Vol 64 ◽  
pp. 159-164 ◽  
Author(s):  
Nicole M. Luongo ◽  
Huiru Dong ◽  
Thomas H. Kerr ◽  
M‐J S. Milloy ◽  
Kanna Hayashi ◽  
...  
Keyword(s):  
Addiction Treatment ◽  
Illicit Drugs ◽  
Income Generation ◽  
Canadian Setting

NIOSH Responds to the U.S. Drug Overdose Epidemic

2021 ◽  
pp. 104829112110407
Author(s):  
Jamie C. Osborne ◽  
L. Casey Chosewood
Keyword(s):  
United States ◽  
Substance Use ◽  
Drug Overdose ◽  
Drug Users ◽  
Illicit Drugs ◽  
Occupational Safety ◽  
The United States ◽  
Opioid Use Disorder ◽  
Opioid Overdose ◽  
Opioid Use

The United States is experiencing an evolving and worsening drug overdose epidemic. Although the rate of drug use among workers has remained relatively stable, the risk of overdose and death among drug users has not, as illicit drugs have increased in potency and lethality. The cumulative impacts of COVID-19 and the opioid crisis increase the likelihood of illness and death among workers with opioid use disorder. Workplaces represent a critical point of contact for people living in the United States who are struggling with or recovering from a substance use disorder, and employment is a vital source of recovery “capital.” The benefits of addressing substance use in the workplace, supporting treatment, and employing workers in recovery are evident. The National Institute for Occupational Safety and Health has published research to inform policy and practice toward prevention efforts and has developed accessible resources and toolkits to support workers, employers, and workplaces in combatting the opioid overdose crisis and creating safer, healthier communities.

scholarly journals “Waste Not, Want Not” — Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring

2021 ◽  
Author(s):  
Timothy B. Erickson ◽  
Noriko Endo ◽  
Claire Duvallet ◽  
Newsha Ghaeli ◽  
Kaitlyn Hess ◽  
...  
Keyword(s):  
Early Warning ◽  
Large Scale ◽  
Illicit Drugs ◽  
Drugs Of Abuse ◽  
Regional Scale ◽  
Early Warning Systems ◽  
Drug Consumption ◽  
Warning Systems ◽  
Opioid Use ◽  
Current Application

AbstractDuring the current global COVID-19 pandemic and opioid epidemic, wastewater-based epidemiology (WBE) has emerged as a powerful tool for monitoring public health trends by analysis of biomarkers including drugs, chemicals, and pathogens. Wastewater surveillance downstream at wastewater treatment plants provides large-scale population and regional-scale aggregation while upstream surveillance monitors locations at the neighborhood level with more precise geographic analysis. WBE can provide insights into dynamic drug consumption trends as well as environmental and toxicological contaminants. Applications of WBE include monitoring policy changes with cannabinoid legalization, tracking emerging illicit drugs, and early warning systems for potent fentanyl analogues along with the resurging wave of stimulants (e.g., methamphetamine, cocaine). Beyond drug consumption, WBE can also be used to monitor pharmaceuticals and their metabolites, including antidepressants and antipsychotics. In this manuscript, we describe the basic tenets and techniques of WBE, review its current application among drugs of abuse, and propose methods to scale and develop both monitoring and early warning systems with respect to measurement of illicit drugs and pharmaceuticals. We propose new frontiers in toxicological research with wastewater surveillance including assessment of medication assisted treatment of opioid use disorder (e.g., buprenorphine, methadone) in the context of other social burdens like COVID-19 disease.

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