June H. Kim
Columbia University
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Featured researches published by June H. Kim.
The Journal of Pediatrics | 2015
Magdalena Cerdá; Julian Santaella; Brandon D. L. Marshall; June H. Kim; Silvia S. Martins
OBJECTIVES To examine the relationship between nonmedical use of prescription opioids and heroin initiation from childhood to young adulthood, and to test whether certain ages, racial/ethnic, and income groups were at higher risk for this transition. STUDY DESIGN Among a nationally representative sample of US adolescents assessed in the 2004-2011 National Surveys on Drug Use and Health cross-sectional surveys (n = 223,534 respondents aged 12-21 years), discrete-time hazard models were used to estimate the age-specific hazards of heroin initiation associated with prior history of nonmedical use of prescription opioids. Interactions were estimated between prior history of nonmedical use of prescription opioids and age of nonmedical use of prescription opioid initiation, race/ethnicity, and income. RESULTS A prior history of nonmedical use of prescription opioids was strongly associated with heroin initiation (hazard ratio 13.12, 95% CI 10.73, 16.04). Those initiating nonmedical use of prescription opioids at ages 10-12 years had the highest risk of transitioning to heroin use; the association did not vary by race/ethnicity or income group. CONCLUSIONS Prior use of nonmedical use of prescription opioids is a strong predictor of heroin use onset in adolescence and young adulthood, regardless of the users race/ethnicity or income group. Primary prevention of nonmedical use of prescription opioids in late childhood may prevent the onset of more severe types of drug use such as heroin at later ages. Moreover, because the peak period of heroin initiation occurs at ages 17-18 years, secondary efforts to prevent heroin use may be most effective if they focus on young adolescents who already initiated nonmedical use of prescription opioids.
Drug and Alcohol Dependence | 2016
Silvia S. Martins; Christine Mauro; Julian Santaella-Tenorio; June H. Kim; Magdalena Cerdá; Katherine M. Keyes; Deborah S. Hasin; Sandro Galea; Melanie M. Wall
BACKGROUND Little is known on how perceived availability of marijuana is associated with medical marijuana laws. We examined the relationship between medical marijuana laws (MML) and the prevalence of past-month marijuana use, with perceived availability of marijuana. METHODS Data were from respondents included in the National Survey of Drug Use and Health restricted use data portal 2004-2013. Multilevel logistic regression of individual-level data was used to test differences between MML and non-MML states and changes in prevalence of past-month marijuana use and perceived availability from before to after passage of MML among adolescents, young adults and older adults controlling for demographics. RESULTS Among adults 26+, past-month prevalence of marijuana use increased from 5.87% to 7.15% after MML passage (Adjusted Odds Ratio (AOR): 1.24 [1.16-1.31]), but no change in prevalence of use was found for 12-17 or 18-25 year-olds. Perceived availability of marijuana increased after MML was enacted among those 26+ but not in younger groups. Among all age groups, prevalence of marijuana use and perception of it being easily available was higher in states that would eventually pass MML by 2013 compared to those that had not. Perceived availability was significantly associated with increased risk of past-month marijuana use in all age groups. CONCLUSION Evidence suggests perceived availability as a driver of change in use of marijuana due to MML. To date, this has only occurred in adults 26+ and different scenarios that could explain this change need to be further explored.
American Journal of Public Health | 2016
June H. Kim; Julian Santaella-Tenorio; Christine Mauro; Julia Wrobel; Magdalena Cerdá; Katherine M. Keyes; Deborah S. Hasin; Silvia S. Martins; Guohua Li
OBJECTIVES To assess the association between medical marijuana laws (MMLs) and the odds of a positive opioid test, an indicator for prior use. METHODS We analyzed 1999-2013 Fatality Analysis Reporting System (FARS) data from 18 states that tested for alcohol and other drugs in at least 80% of drivers who died within 1 hour of crashing (n = 68 394). Within-state and between-state comparisons assessed opioid positivity among drivers crashing in states with an operational MML (i.e., allowances for home cultivation or active dispensaries) versus drivers crashing in states before a future MML was operational. RESULTS State-specific estimates indicated a reduction in opioid positivity for most states after implementation of an operational MML, although none of these estimates were significant. When we combined states, we observed no significant overall association (odds ratio [OR] = 0.79; 95% confidence interval [CI] = 0.61, 1.03). However, age-stratified analyses indicated a significant reduction in opioid positivity for drivers aged 21 to 40 years (OR = 0.50; 95% CI = 0.37, 0.67; interaction P < .001). CONCLUSIONS Operational MMLs are associated with reductions in opioid positivity among 21- to 40-year-old fatally injured drivers and may reduce opioid use and overdose.
Drug and Alcohol Dependence | 2013
Renee D. Goodwin; June H. Kim; Andrea H. Weinberger; Farah Taha; Sandro Galea; Silvia S. Martins
BACKGROUND A large number of adults report symptoms of, but do not meet diagnostic criteria for, an alcohol use disorder. Yet, little is known about the relationship between symptoms of alcohol use disorders and the initiation and persistence of smoking. This study prospectively examines the relationship between having 1-2 symptoms of alcohol dependence (without abuse) and smoking initiation and persistence as well as nicotine dependence over a 3-year period among adults in the United States. METHODS Data were drawn from Wave 1 (2001-2002) and Wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. Relationships between Wave 1 symptoms of alcohol dependence, alcohol abuse, and alcohol dependence and initiation and persistence of cigarette smoking and nicotine dependence at Wave 2 were examined using logistic regression analyses. Analyses were adjusted for demographics, mood and anxiety disorders. RESULTS Symptoms of alcohol dependence were associated with smoking initiation at Wave 2. There was no association between symptoms of alcohol dependence and smoking persistence. Symptoms of alcohol dependence predicted incident and persistent nicotine dependence. Findings persisted after adjusting for demographic characteristics and mood/anxiety disorders. CONCLUSIONS Even 1-2 symptoms of alcohol dependence are associated with increased vulnerability to smoking initiation and onset and persistence of nicotine dependence at a similar strength as alcohol use disorders. Efforts at smoking cessation must address problematic alcohol use, even at the subclinical level, in order to improve efficacy.
Alcoholism: Clinical and Experimental Research | 2014
June H. Kim; Silvia S. Martins; Dvora Shmulewitz; Julian Santaella; Melanie M. Wall; Katherine M. Keyes; Nicholas R. Eaton; Robert F. Krueger; Bridget F. Grant; Deborah S. Hasin
BACKGROUND Little is known about the relationship between stressful life events and alcohol craving in the general population, and whether a history of childhood maltreatment sensitizes individuals to crave alcohol after adult stressors. METHODS Participants were 22,147 past-year drinkers from Wave 2 (2004 to 2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. A structured, face-to-face interview assessed past-year stressful life events, alcohol craving, and history of childhood maltreatment. Logistic regression was used to generate adjusted odds ratios (aOR) to evaluate the relationship between stressful life events and craving, adjusting for demographic characteristics and parental history of alcoholism. Interaction between stressful life events and childhood maltreatment was also assessed. RESULTS Compared to participants with no stressful life events, those with ≥ 3 events had increased odds of moderate alcohol craving (aOR = 3.15 [95% CI = 2.30 to 4.33]) and severe craving (aOR = 8.47 [95% CI = 4.78 to 15.01]). Stressful life events and childhood maltreatment interacted in predicting severe craving (p = 0.017); those with ≥ 3 events were at higher risk of craving if they had been exposed to childhood maltreatment. CONCLUSIONS A direct relationship between stressful life events and risk of alcohol craving was observed. Further, history of childhood maltreatment increased the salience of stressful life events in adulthood. Future studies should examine the role of psychiatric comorbidity in more complex models of stress sensitization and alcohol craving.
American Journal of Public Health | 2017
Julian Santaella-Tenorio; Christine Mauro; Melanie M. Wall; June H. Kim; Magdalena Cerdá; Katherine M. Keyes; Deborah S. Hasin; Sandro Galea; Silvia S. Martins
OBJECTIVES To determine the association of medical marijuana laws (MMLs) with traffic fatality rates. METHODS Using data from the 1985-2014 Fatality Analysis Reporting System, we examined the association between MMLs and traffic fatalities in multilevel regression models while controlling for contemporaneous secular trends. We examined this association separately for each state enacting MMLs. We also evaluated the association between marijuana dispensaries and traffic fatalities. RESULTS On average, MML states had lower traffic fatality rates than non-MML states. Medical marijuana laws were associated with immediate reductions in traffic fatalities in those aged 15 to 24 and 25 to 44 years, and with additional yearly gradual reductions in those aged 25 to 44 years. However, state-specific results showed that only 7 states experienced post-MML reductions. Dispensaries were also associated with traffic fatality reductions in those aged 25 to 44 years. CONCLUSIONS Both MMLs and dispensaries were associated with reductions in traffic fatalities, especially among those aged 25 to 44 years. State-specific analysis showed heterogeneity of the MML-traffic fatalities association, suggesting moderation by other local factors. These findings could influence policy decisions on the enactment or repealing of MMLs and how they are implemented.
Addictive Behaviors | 2014
Silvia S. Martins; Grace P. Lee; June H. Kim; Elizabeth J. Letourneau; Carla L. Storr
OBJECTIVES Late adolescence represents a developmental risk period when many youth become involved in multiple forms of high-risk behaviors with adverse consequences. This study assessed the degree to which two such behaviors, adolescent sexual behaviors and gambling, were associated in a community-based sample with a large African-American presence. STUDY DESIGN Data are derived from a cohort study. This study focuses on 427 African-American participants with complete information on gambling and sexual behaviors by age 18 (72% of original cohort). Gambling involvement and related problems were based on responses to the South Oaks Gambling Screen - Revised for Adolescents. Several questions assessed sexual behaviors, including age of initiation. Multivariable logistic regression models adjusted for demographics, intervention status, impulsivity, depressive and anxiety symptoms, and alcohol and illegal drug use. RESULTS Almost half of the sample (49%, n=211) had gambled at least once before age 18. More gamblers than non-gamblers had initiated sexual intercourse by age 18 (aOR: 2.29 [1.16, 4.52]). Among those who had initiated sexual activity, more gamblers than non-gamblers with high impulsivity levels at age 13 (vs. low impulsivity levels) had become pregnant or had impregnated someone. Among those who had initiated sexual activity by age 18, more male gamblers had impregnated someone by age 18 as compared to female gamblers becoming pregnant. CONCLUSIONS Gambling and sexual behaviors often co-occur among adolescents. Such findings prompt the need for the inclusion of gambling, an often overlooked risky behavior, in behavioral prevention/intervention programs targeting adolescents.
Social Psychiatry and Psychiatric Epidemiology | 2015
Silvia S. Martins; June H. Kim; Lian Yu Chen; Deysia Levin; Katherine M. Keyes; Magdalena Cerdá; Carla L. Storr
Health Affairs | 2016
Arthur Robin Williams; Mark Olfson; June H. Kim; Silvia S. Martins; Herbert D. Kleber
Social Psychiatry and Psychiatric Epidemiology | 2017
Alexander S. Perlmutter; Sarah C. Conner; Mirko Savone; June H. Kim; Luis Esteban Segura; Silvia S. Martins