Early-onset drug use and risk for drug dependence problems
Open accessAbstract
There is substantial evidence that alcohol, tobacco, and cannabis dependence problems surface more quickly when use of these drugs starts before adulthood, but the evidence based on other internationally regulated drugs (e.g., cocaine) is meager. With focus on an interval of up to 24 months following first drug use, we examine drug-specific and age-specific variation in profiles of early-emerging clinical features associated with drug dependence. Based upon the United States National Surveys on Drug Use and Health (NSDUH) conducted in 2000-2002, the risk of experiencing drug dependence problems was robustly greater for adolescent recent-onset users of cocaine, psychostimulant drugs other than cocaine, analgesics, anxiolytic medicines, inhalants drugs, and cannabis, as compared to adult recent-onset users (odds ratio=1.5-4.3, p<0.05). This was not the case for the NSDUH hallucinogens group (e.g., LSD). The adolescent onset associated excess risk was not constant across all clinical features. Our evidence suggests promoting earlier detection and interventions, as well as greater parent and peer awareness of drug dependence clinical features that may develop early among young people who have just started using drugs.
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Adolescence is a particularly vulnerable time for initiating drug use and developing substance use disorders.
“Adolescence is a particularly vulnerable time for initiating drug use and developing SUDs.”
From Impact of Sleep and Circadian Rhythms on Addiction Vulnerability in Adolescents (2018) · cites this paper as [1]
Earlier use (11-17 years of age) predicts later dependence within 2 years for almost every drug of abuse.
“earlier use (11–17 years of age) predicts later dependence (i.e., within 2 years) for almost every drug of abuse (1)”
From Impact of Sleep and Circadian Rhythms on Addiction Vulnerability in Adolescents (2018) · cites this paper as [1]
Early onset of drug abuse is strongly related to the development of lifelong addiction.
“Early onset of drug abuse is strongly related to the development of lifelong addiction (1,2)”
From Impact of Sleep and Circadian Rhythms on Addiction Vulnerability in Adolescents (2018) · cites this paper as [1]
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- Authors
- Chen, C.-Y., Storr, C. L., & Anthony, J. C.
- Affiliations
- National Health Research Institutes (TW)
- University of Maryland, Baltimore (US)
- Michigan State University (US)
- Corresponding author
- Storr, Carla L.
- Venue
- Addictive Behaviors
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 34
- Issue
- 3
- Pages
- 319-322
- ISSN
- 0306-4603 (ISSN-L)
- PMC
- PMC2677076
- OpenAlex
- W1965773300
- Cited by
- 466
- References
- 20
- Citations by year
- 2026: 15 · 2025: 28 · 2024: 21 · 2023: 27 · 2022: 36 · 2021: 36 · 2020: 48 · 2019: 23 · 2018: 37 · 2017: 32 · 2016: 31 · 2015: 34 · 2014: 31 · 2013: 23 · 2012: 17
- FWCI
- 6.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Addictive Behaviors (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Health Research Institutes
- National Institute on Drug Abuse (R01 DA09897, R01DA016323, K05DA015799, R01DA009897)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Demography › Youth, Drugs, and Violence
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- adolescent drug use, drug addiction, cocaine dependence, psychostimulants, cannabis use disorder, inhalant use, analgesic dependence, hallucinogens, age of onset, substance use prevention
- MeSH terms
- Adolescent, Age Factors, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Risk Factors, Substance-Related Disorders, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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