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Original Article

Substance Use Patterns and Characteristics Using Real World Data from Adolescents Assessed for Substance Use and Treatment Planning-United States, 2017–2021

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Published online: 29 Jul 2024
 

Abstract

Background

Although substance use rates among adolescents have decreased, drug overdose deaths among adolescents have increased since 2020, driven largely by illegally made fentanyl (IMF). This study explores substance use patterns and characteristics of adolescents who were assessed for substance use disorder (SUD) treatment to inform prevention and response strategies.

Methods

A convenience sample of adolescents aged 10–18 years assessed for SUD treatment from September 2017 to December 2021 was analyzed using the Comprehensive Health Assessment for Teens. The percentage of lifetime and past 30-day substance use was examined. Adolescent characteristics (e.g., demographics, history of overdoses or hospital visits due to drug/alcohol use) were analyzed by lifetime substances used.

Results

Among 5,377 assessments, most were male (58.7%), aged 16–18 years (50.5%), non-Hispanic White (43.1%), enrolled in school (87.3%), and living with their parent(s) (72.4%). The most commonly reported lifetime substances used were marijuana (68.0%), alcohol (54.2%), and prescription opioid misuse (13.6%). The most common past 30-day substance use combination was alcohol and marijuana (35.6%). The percentage of assessments indicating past-year overdoses or hospital visits due to drug/alcohol use was greatest among those who reported lifetime use of IMF (24.0%), followed by heroin (21.4%) and cocaine (15.3%). Overall, 2.3% reported lifetime IMF use and 0.6% thought IMF was causing them the most problems.

Conclusions

Findings inform opportunities to address substance use and increased IMF-involved overdose among adolescents. Continued overdose prevention and response strategies such as evidence-based education campaigns, naloxone distribution and harm reduction efforts, and evidence-based SUD treatment expansion are needed.

Acknowledgement

The authors would like to thank Akadia Kacha-Ochana for managing the NAVIPPRO datasets at CDC.

Authors’ Contribution

Xinyi Jiang came up with the initial study idea, conducted the study design, analysis, and manuscript drafting. Gery P. Guy Jr. developed the research design, provided subject matter expertise, assisted in data preparation, reviewed/revised the manuscript, and interpreted the results. Kristine Schmit provided subject matter expertise, reviewed/revised the manuscript, and interpreted the results. Brooke Hoots provided subject matter expertise, developed the research design, reviewed/revised the manuscript, and interpreted the results. Douglas R. Roehler provided subject matter expertise, developed the research design, reviewed/revised the manuscript, and interpreted the results. Taryn Dailey Govoni provided subject matter expertise, developed the research design, reviewed/revised the manuscript, and interpreted the results. Vanessa Mallory provided subject matter expertise, reviewed/revised the manuscript and interpreted the results. Jody L. Green provided subject matter expertise, developed the research design, reviewed/revised the manuscript, and interpreted the results. All authors have contributed to and approved the finial manuscript.

Disclosure statement

The authors have no relevant conflicts of interest to disclose.

Disclaimer

The findings and conclusions in this paper are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Additional information

Funding

The authors reported there is no funding associated with the work featured in this article.

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