Skip to main navigation
Skip to search
Skip to main content
UTMB Health Research Expert Profiles Home
Help & FAQ
Home
Experts
Departments
Equipment
Projects/Grants
Publications
Activities
Press/Media
Honors
Impacts
Search by expertise, name or affiliation
Longitudinal predictors of synthetic cannabinoid use in adolescents
Andrew L. Ninnemann
, Hye Jeong Choi
, Gregory L. Stuart
, Jeff R. Temple
School of Nursing
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Longitudinal predictors of synthetic cannabinoid use in adolescents'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Longitudinal Predictors
100%
Synthetic Cannabinoids
100%
Marijuana
40%
Risk Factors
20%
Alcohol Use
13%
Impulsivity
13%
Depressive Symptoms
13%
1-year Follow-up
13%
African American
6%
Anxiety-depression
6%
High Efficacy
6%
World Wide Web
6%
Path Analysis
6%
Δ9-tetrahydrocannabinol (Δ9-THC)
6%
Southeast Texas
6%
Anxiety Symptoms
6%
Heterogeneous Groups
6%
Psychiatric Uses
6%
Substance Use Risk
6%
Negative Health Effects
6%
Public High School
6%
Convenience Stores
6%
Full Agonist
6%
Prevention Programming
6%
CB2 Cannabinoid Receptor
6%
Cross-sectional Research
6%
Nursing and Health Professions
Adolescent
100%
Cannabis
100%
Alcohol Consumption
33%
Tetrahydrocannabinol
16%
Cannabinoid 2 Receptor
16%
Efficacy
16%
Cross-Sectional Study
16%
Neuroscience
Cannabinoid
100%
Cannabis
40%
Risk Factor
20%
Impulsivity
13%
Agonist
6%
Substance Abuse
6%
Tetrahydrocannabinol
6%
Cannabinoid 2 Receptor
6%
Psychology
Impulsivity
100%
Substance Use
50%