scholarly journals Beth Macy, Dopesick: Dealers, Doctors, and the Drug Company that Addicted America (New York: Little, Brown and Company2018), pp. 384, $11.99, hardback, ISBN: 9780316551281. - Barry Meier, Pain Killer: An Empire of Deceit and the Origins of America’s Opioid Epidemic, 2nd edition (London: Penguin Random House, 2018), pp. 240, $27.00, hardback, ISBN: 9780525511106. - Ben Westhoff, Fentanyl, Inc.: How Rogue Chemists Are Creating the Deadliest Wave of the Opioid Epidemic (London: Grove Atlantic, 2019), pp. 352, $27.00, paperback, ISBN: 9780802127433.

2020 ◽  
Vol 64 (2) ◽  
pp. 288-291
Author(s):  
Megan Aiken
Keyword(s):  
New York ◽  
Drug Company ◽  
Opioid Epidemic

scholarly journals How Massachusetts, Vermont, and New York Are Taking Action to Address the Opioid Epidemic

2018 ◽  
Vol 108 (12) ◽  
pp. 1621-1622 ◽  
Author(s):  
Yamilette Hernandez ◽  
Sarah Meyers-Ohki ◽  
Sarah Farkas ◽  
Samuel Ball ◽  
Kenneth Leonard ◽  
...  
Keyword(s):  
New York ◽  
Opioid Epidemic ◽  
Taking Action

scholarly journals The opioid epidemic: how have buprenorphine waivered OB/GYNs impacted treatment availability in New York?

2022 ◽  
Vol 226 (1) ◽  
pp. S610-S611
Author(s):  
Khadijah Bland ◽  
Elaine L. Hill ◽  
Mira Chaskes ◽  
Neil S. Seligman
Keyword(s):  
New York ◽  
Opioid Epidemic

scholarly journals 143. Opioid Use and Hospitalizations for Endocarditis, Osteomyelitis, and Central Nervous System Abscess among Adults — New York City, 2001–2014

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S99-S99
Author(s):  
Chaorui Huang ◽  
David Lucero ◽  
Denise Paone ◽  
Ellenie Tuazon ◽  
Demetre Daskalakis
Keyword(s):  
New York ◽  
Central Nervous System ◽  
New York City ◽  
Nervous System ◽  
York City ◽  
Opioid Epidemic ◽  
Opioid Use ◽  
Increased Risk ◽  
Opioid Users ◽  
Discharge Record

Abstract Background Along with a growing opioid epidemic nationwide, opioid users often have an increased risk of severe infectious diseases including endocarditis, osteomyelitis, and central nervous system (CNS) abscess. As the largest city in the United States, New York City (NYC) may serve as a study model for opioid use and infectious diseases. We investigated the association between opioid use and hospitalizations for endocarditis, osteomyelitis, and CNS abscess in NYC. Methods Data for NYC residents aged ≥18 years discharged from New York State hospitals during 2001–2014 were analyzed using a hospital discharge dataset. We defined a hospitalization for endocarditis, osteomyelitis, and CNS abscess as one with a principal or secondary diagnosis for these conditions within the discharge record. We identified opioid users by examining principal or secondary diagnoses for opioid use within the discharge record at the time of hospitalization for endocarditis, osteomyelitis, and CNS abscess. Log-binomial model was applied among all hospitalized patients using endocarditis, osteomyelitis, and CNS abscess as the outcome, adjusting for age, sex, race, and borough. Results During 2001–2014, there were 139,392 hospitalizations in total for endocarditis, osteomyelitis, or CNS abscess, of which 8,823 (6.3%) were among opioid users. There was an increased risk of hospitalization for endocarditis [RR: 2.6 (95% CI: 2.5–2.7)], osteomyelitis [RR: 1.1 (95% CI: 1.1–1.1)], and CNS abscesses [RR: 1.9 (95% CI: 1.8–2.1)] among hospitalized opioid users compared with hospitalized nonopioid users, adjusted by age, sex, race, and borough. Hospitalized opioid users had four times the risk for endocarditis hospitalization compared with hospitalized nonopioid users in the 18–44 year age group (RR: 4.2 [95% CI: 3.9–4.5]) (Table 1). Conclusion These results provide further evidence that opioid use is associated with an increased risk of endocarditis, osteomyelitis, and CNS abscess. Efforts to combat the opioid epidemic might lower the overall incidence of endocarditis, osteomyelitis, and CNS abscess. Disclosures All authors: No reported disclosures.

scholarly journals A Community in Crisis: The Opioid Epidemic on Staten Island

2017 ◽  
Vol 28 (4) ◽  
Author(s):  
Patricia Tooker
Keyword(s):  
New York ◽  
Substance Abuse ◽  
Growth And Development ◽  
Collective Impact ◽  
Opioid Epidemic ◽  
Adolescent Substance Abuse ◽  
Staten Island ◽  
Adolescent Substance ◽  
Development Patterns ◽  
Illicit Substance Use

There is no “magic potion” or vaccine to prevent youth from using alcohol or other drugs. Adolescent substance abuse prevention programs have been largely ineffective because the messaging is taken for granted. Efforts based on theories of growth and development patterns, and are inclusive of strategies beyond the classroom and home, have demonstrated encouraging findings particularly when members of the community are involved. This paper will explore factors behind illicit substance use among youth in Staten Island, New York and how Wagner College is playing an important part of a collective impact initiative that is starting to make a difference.

scholarly journals Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level

10.2196/23426 ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. e23426
Author(s):  
Anthony Xiang ◽  
Wei Hou ◽  
Sina Rashidian ◽  
Richard N Rosenthal ◽  
Kayley Abell-Hart ◽  
...  
Keyword(s):  
New York ◽  
Regression Model ◽  
Census Tract ◽  
New York State ◽  
Opioid Use Disorder ◽  
Opioid Epidemic ◽  
Opioid Use ◽  
Cross Sectional ◽  
York State ◽  
Census Tract Level

Background Opioid overdose-related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). Objective We aimed to discover geospatial patterns in nonmedical opioid use and its correlations with demographic features related to despair and economic hardship, most notably the US presidential voting patterns in 2016 at census tract level in New York State. Methods This cross-sectional analysis used data from New York Statewide Planning and Research Cooperative System claims data and the presidential voting results of 2016 in New York State from the Harvard Election Data Archive. We included 63,958 patients who had at least one OUD diagnosis between 2010 and 2016 and 36,004 patients with at least one OP diagnosis between 2012 and 2016. Geospatial mappings were created to compare areas of New York in OUD rates and presidential voting patterns. A multiple regression model examines the extent that certain factors explain OUD rate variation. Results Several areas shared similar patterns of OUD rates and Republican vote: census tracts in western New York, central New York, and Suffolk County. The correlation between OUD rates and the Republican vote was .38 (P<.001). The regression model with census tract level of demographic and socioeconomic factors explains 30% of the variance in OUD rates, with disability and Republican vote as the most significant predictors. Conclusions At the census tract level, OUD rates were positively correlated with Republican support in the 2016 presidential election, disability, unemployment, and unmarried status. Socioeconomic and demographic despair-related features explain a large portion of the association between the Republican vote and OUD. Together, these findings underscore the importance of socioeconomic interventions in combating the opioid epidemic.

scholarly journals Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: A Cross-Sectional Study in New York State at Census Tract Level

2020 ◽  
Author(s):  
Anthony Xiang ◽  
Sina Rashidian ◽  
Wei Hou ◽  
Richard N Rosenthal ◽  
Kayley Abell-Hart ◽  
...  
Keyword(s):  
New York ◽  
Census Tract ◽  
New York State ◽  
Opioid Use Disorder ◽  
Opioid Epidemic ◽  
Opioid Use ◽  
Cross Sectional ◽  
York State ◽  
Census Tract Level ◽  
Demographic Features

Background: Opioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). Objective: We aimed to discover geospatial patterns in problematic opioid use and its correlations with demographic features related to despair and economic hardship, most notably the US presidential voting patterns in 2016 at census tract level in New York State. Methods: This cross-sectional analysis used data from New York Statewide Planning and Research Cooperative System claims data and the presidential voting results of 2016 in New York State from the Harvard Election Data Archive. We included 63,958 patients who had at least one opioid use disorder (OUD) diagnosis between 2010 and 2016, and 36,004 patients with at least one opioid poisoning (OP) diagnosis between 2012 and 2016. A logistic regression model was used to determine the associations between patient level characteristics (sex, age group, race, and payment type) and OUD and OP patient rates at census tract level. Results: Several areas shared similar patterns of OUD rates and Republican vote: census tracts in Western New York, Central New York, and Suffolk County. The Spearman rank correlation between OUD rates and the Republican vote was 0.38 (P < 0.0001). A multiple regression model of census tract level demographic and socioeconomic factors explains 29% of the variance in OUD rates, with disability and republican vote the biggest predictors. Conclusions: At the census tract level, opioid use disorder rates were positively correlated with Republican support in the 2016 presidential election, disability, unemployment, and unmarried status. Socioeconomic and demographic features explain a large portion of the association between the Republican vote and opioid use disorder. Together, these findings underscore the importance of socioeconomic interventions in combatting the opioid epidemic.

scholarly journals Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level (Preprint)

2020 ◽  
Author(s):  
Anthony Xiang ◽  
Wei Hou ◽  
Sina Rashidian ◽  
Richard N Rosenthal ◽  
Kayley Abell-Hart ◽  
...  
Keyword(s):  
New York ◽  
Regression Model ◽  
Census Tract ◽  
New York State ◽  
Opioid Use Disorder ◽  
Opioid Epidemic ◽  
Opioid Use ◽  
Cross Sectional ◽  
York State ◽  
Census Tract Level

BACKGROUND Opioid overdose-related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP) and opioid use disorder (OUD). OBJECTIVE We aimed to discover geospatial patterns in nonmedical opioid use and its correlations with demographic features related to despair and economic hardship, most notably the US presidential voting patterns in 2016 at census tract level in New York State. METHODS This cross-sectional analysis used data from New York Statewide Planning and Research Cooperative System claims data and the presidential voting results of 2016 in New York State from the Harvard Election Data Archive. We included 63,958 patients who had at least one OUD diagnosis between 2010 and 2016 and 36,004 patients with at least one OP diagnosis between 2012 and 2016. Geospatial mappings were created to compare areas of New York in OUD rates and presidential voting patterns. A multiple regression model examines the extent that certain factors explain OUD rate variation. RESULTS Several areas shared similar patterns of OUD rates and Republican vote: census tracts in western New York, central New York, and Suffolk County. The correlation between OUD rates and the Republican vote was .38 (<i>P</i>&lt;.001). The regression model with census tract level of demographic and socioeconomic factors explains 30% of the variance in OUD rates, with disability and Republican vote as the most significant predictors. CONCLUSIONS At the census tract level, OUD rates were positively correlated with Republican support in the 2016 presidential election, disability, unemployment, and unmarried status. Socioeconomic and demographic despair-related features explain a large portion of the association between the Republican vote and OUD. Together, these findings underscore the importance of socioeconomic interventions in combating the opioid epidemic.

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