Medical marijuna laws: Response to Caputi DOI Open Access
Angélica Meinhofer

Addiction, Journal Year: 2019, Volume and Issue: 115(1), P. 189 - 190

Published: Nov. 13, 2019

In his response to our study 1, Caputi 2 expressed concern that findings might be susceptible the ecological fallacy—the assumption population-level correlations parallel individual-level correlations. He correctly argued that: ‘researchers must use data reliably discern effect of medical marijuana (MMU), an exposure’. This, however, was not association aimed nor claimed discern. What between laws (MMLs), a state-level exposure, and treatment admissions by pregnant women. MMU MMLs are equivalent exposures, exposure. As such, Caputi's argument is misdirected. may generate spillovers only affecting MMU, but also illicit (IMU) other substance among non-patients. The economics literature describes occur through networks or general equilibrium effects 3. Examples MML-induced include illegal drug market responses potency prices; changes in health-care provider practices; beliefs about punishment risk, safety stigma IMU; greater availability diverted initially intended for MMU. Marijuana admissions, primary outcome one necessarily preceded use, affected IMU. Additionally, it probability entering disorder (SUD) treatment, even absence This surveillance providers law enforcement. Despite being we certainly agree with would preferable, as allow control potential confounders. Unfortunately, National Survey Drug Use Health used previous MML studies analyzing measures (e.g. disorder, treatment) population large enough women subpopulation. Instead relied on Treatment Episode Data Set, which captures number SUD treatment. However, all individuals can MMLs, analysis relative problematic. We addressed this issue aggregating at dividing them estimates, more appropriate denominator. mitigated bias difference-in-differences design exploiting staggered implementation showed results were robust numerous controls. Perhaps most importantly, did report isolation reconciled broader strengthen their interpretation credibility. cited using documenting positive adults; nation-wide; regarding during pregnancy; therapeutic benefits experiencing nausea; dispensaries recommending pregnancy-related 18% woman enter 4. Given nation-wide growth women, public perceptions safety, recent increased after legalization Washington 5 from linking increases research needed understand offspring. None.

Language: Английский

Neighborhood Alcohol Outlet Density, Historical Redlining, and Violent Crime in NYC 2014–2018 DOI Open Access
Sean J. Haley,

Shari J. Jardine,

Elizabeth A. Kelvin

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(4), P. 3212 - 3212

Published: Feb. 12, 2023

Alcohol outlets tend to cluster in lower income neighborhoods and do so disproportionately areas with more residents of color. This study explores the association between on- off-premise alcohol outlet density history redlining violent crime New York City 2014 2018. was calculated using a spatial accessibility index. Multivariable linear regression models assess associations redlining, on-premise serious crime. Each unit increase associated significant (β = 3.1, p < 0.001 β 33.5, off premise). In stratified (redlined vs not redlined community block groups) stronger communities compared those without 42.4, versus 30.9, 0.001, respectively). However, only significantly 3.6, 0.001). The experienced by formerly is likely related legacy racialized housing policies may be state that allow for high neighborhood density.

Language: Английский

Citations

9
Medical marijuna laws: Response to Caputi DOI Open Access
Angélica Meinhofer

Addiction, Journal Year: 2019, Volume and Issue: 115(1), P. 189 - 190

Published: Nov. 13, 2019

In his response to our study 1, Caputi 2 expressed concern that findings might be susceptible the ecological fallacy—the assumption population-level correlations parallel individual-level correlations. He correctly argued that: ‘researchers must use data reliably discern effect of medical marijuana (MMU), an exposure’. This, however, was not association aimed nor claimed discern. What between laws (MMLs), a state-level exposure, and treatment admissions by pregnant women. MMU MMLs are equivalent exposures, exposure. As such, Caputi's argument is misdirected. may generate spillovers only affecting MMU, but also illicit (IMU) other substance among non-patients. The economics literature describes occur through networks or general equilibrium effects 3. Examples MML-induced include illegal drug market responses potency prices; changes in health-care provider practices; beliefs about punishment risk, safety stigma IMU; greater availability diverted initially intended for MMU. Marijuana admissions, primary outcome one necessarily preceded use, affected IMU. Additionally, it probability entering disorder (SUD) treatment, even absence This surveillance providers law enforcement. Despite being we certainly agree with would preferable, as allow control potential confounders. Unfortunately, National Survey Drug Use Health used previous MML studies analyzing measures (e.g. disorder, treatment) population large enough women subpopulation. Instead relied on Treatment Episode Data Set, which captures number SUD treatment. However, all individuals can MMLs, analysis relative problematic. We addressed this issue aggregating at dividing them estimates, more appropriate denominator. mitigated bias difference-in-differences design exploiting staggered implementation showed results were robust numerous controls. Perhaps most importantly, did report isolation reconciled broader strengthen their interpretation credibility. cited using documenting positive adults; nation-wide; regarding during pregnancy; therapeutic benefits experiencing nausea; dispensaries recommending pregnancy-related 18% woman enter 4. Given nation-wide growth women, public perceptions safety, recent increased after legalization Washington 5 from linking increases research needed understand offspring. None.

Language: Английский

Citations

0