2018
DOI: 10.1016/j.addbeh.2018.04.017
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Young adults' opioid use trajectories: From nonmedical prescription opioid use to heroin, drug injection, drug treatment and overdose

Abstract: Findings may help inform the optimal timing for delivery of primary, secondary and tertiary prevention efforts targeting young opioid users.

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Cited by 83 publications
(83 citation statements)
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“…The models also controlled for potential confounders with either established or hypothesized relationships with both changes in prescribed OPR dose and use of heroin or non-prescribed OPRs. [29][30][31][32][33][34][35] Potential confounders that were essentially fixed (e.g., demographics) were included as baseline covariates that remained static over the study period whereas potential confounders that changed over time were included as lagged covariates that could change over the study period. Specifically, each model controlled for continuous patient age; race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic other/mixed race); gender (male, female, transgender or other); education (less than high school, high school graduate, some college less than Bachelor's, Bachelor's degree or higher); any heroin or non-prescribed OPR use prior to baseline (defined as the first quarter included in the analysis); mean OPR dose during the first year of follow-up (i.e., the year prior to baseline); and OPR dose change in the quarter prior to the cohort-defining quarter, the initial OPR dose that was used to define the dose change in the cohort-defining quarter.…”
Section: Discussionmentioning
confidence: 99%
“…The models also controlled for potential confounders with either established or hypothesized relationships with both changes in prescribed OPR dose and use of heroin or non-prescribed OPRs. [29][30][31][32][33][34][35] Potential confounders that were essentially fixed (e.g., demographics) were included as baseline covariates that remained static over the study period whereas potential confounders that changed over time were included as lagged covariates that could change over the study period. Specifically, each model controlled for continuous patient age; race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic other/mixed race); gender (male, female, transgender or other); education (less than high school, high school graduate, some college less than Bachelor's, Bachelor's degree or higher); any heroin or non-prescribed OPR use prior to baseline (defined as the first quarter included in the analysis); mean OPR dose during the first year of follow-up (i.e., the year prior to baseline); and OPR dose change in the quarter prior to the cohort-defining quarter, the initial OPR dose that was used to define the dose change in the cohort-defining quarter.…”
Section: Discussionmentioning
confidence: 99%
“…However, the restricted prescription opioid supply was likely only one contributing factor to the rise in heroin overdose deaths. At the same time as prescription opioid became less available, heroin prices decreased and heroin purity and supply increased (42,46,47). After 2013, the introduction of fentanyl into the illegal drug market, and the adulteration of heroin with fentanyl contributed greatly to the rise in heroin overdose deaths.…”
Section: Restriction Of the Prescription Opioid Supply And The Rise Omentioning
confidence: 99%
“…Unlike in past decades, this higher purity means, among other things, that intoxication can be achieved with insufflation and smoking, thereby facilitating heroin initiation and use in a more acceptable way (i.e., without injection being necessary as the initial route of administration) . Nevertheless, the majority of individuals using heroin eventually transition to injection use, raising their risk for overdose and infectious disease transmission . The relatively lower price of heroin (and now fentanyl, as described below) compared with prescription opioids may also have contributed to the transition from prescription opioids to heroin and other illicit opioids .…”
Section: Vector Factorsmentioning
confidence: 99%