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International Journal of Mental Health and Addiction

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01-04-2022 | Original Article

Initial Heroin Use Patterns Predict 5-Year Relapse: Results from a Longitudinal Cohort Study in Shanghai, China

Authors: Ruihua Li, Tianzhen Chen, Haifeng Jiang, Na Zhong, Jiang Du, Zhibin Li, Yan Zhao, Haiming Sun, Zhikang Chen, Chuanwei Li, Min Zhao

Published in: International Journal of Mental Health and Addiction | Issue 2/2022

Abstract

People start to use heroin in different patterns. This study identified three initial heroin use patterns in a heroin use cohort: No-factor initial pattern (with no factors of initial heroin use), Single-factor initial pattern (with 1 of 3 factors of initial heroin use), and Multiple-factor initial pattern (with 2 or 3 factors of initial heroin use). The cumulative heroin relapse rate was 53.3%, 62.4%, and 72.7% respectively for No-factor, Single-factor, and Multiple-factor initial patterns during the 5-year follow-up. The adjusted hazard ratio (AHR) was 1.401 (95% CI: 1.091–1.799, p = 0.008) in Single-factor initial pattern and 2.381 (95% CI: 1.546–3.668, p < 0.001) in Multiple-factor initial pattern compared to No-factor initial pattern. This study added new evidence to the impact of initial heroin use on long-term relapse risk, which suggested that initial heroin use patterns should not be neglected.

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Title: Initial Heroin Use Patterns Predict 5-Year Relapse: Results from a Longitudinal Cohort Study in Shanghai, China
Authors: Ruihua Li
Tianzhen Chen
Haifeng Jiang
Na Zhong
Jiang Du
Zhibin Li
Yan Zhao
Haiming Sun
Zhikang Chen
Chuanwei Li
Min Zhao
Publication date: 01-04-2022
Publisher: Springer US
Published in: International Journal of Mental Health and Addiction / Issue 2/2022
Print ISSN: 1557-1874
Electronic ISSN: 1557-1882
DOI: https://doi.org/10.1007/s11469-020-00407-9

At a glance: The STEP trials

Springer Medicine

Initial Heroin Use Patterns Predict 5-Year Relapse: Results from a Longitudinal Cohort Study in Shanghai, China

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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