Exploring the Association between Lifetime Prevalence of Mental Illness and Transition from Substance Use to Substance Use Disorders: Results from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC).

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Title: Exploring the Association between Lifetime Prevalence of Mental Illness and Transition from Substance Use to Substance Use Disorders: Results from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC).
Authors: Lev‐Ran, Shaul, Imtiaz, Sameer, Rehm, Jürgen, Le Foll, Bernard
Source: American Journal on Addictions. Mar2013, Vol. 22 Issue 2, p93-98. 6p. 2 Charts.
Subjects: Mental illness, Substance abuse, Personality disorders, Psychoses, Hallucinogenic drugs, Disease prevalence, Cross-sectional method
Abstract: Background and Objectives The association between substance use disorders (SUDs) and mental illness (MI) has been well established. Previous studies reporting this association in various clinical populations have not taken into account former substance use. This may be important as increased prevalence of substance use among individuals with MI may partially explain the strong association between SUDs and MI. Methods In this study we included only individuals with previous substance use and explored the association between lifetime diagnosis of MI and transition from substance use to SUDs. Analyses were conducted across six different categories of substances (alcohol, nicotine, cannabis, cocaine, hallucinogens, inhalants) based on a large representative US sample, the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC, n = 43,093). Results Lifetime diagnoses of any MI, and particularly personality disorders and psychotic disorders, were found to be associated with higher prevalence of transition from substance use to SUDs across most categories of substances. This association was particularly strong for nicotine (adjusted OR = 2.95 (2.72-3.20)). Conclusions and Scientific Significance This cross-sectional study expands on previous research by highlighting the association between lifetime diagnosis of any MI and increased rates of transition from substance use to SUDs across a range of substances. Longitudinal studies exploring temporal effects of this association are further needed. (Am J Addict 2013;22:93-98) [ABSTRACT FROM AUTHOR]
Copyright of American Journal on Addictions is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Exploring the Association between Lifetime Prevalence of Mental Illness and Transition from Substance Use to Substance Use Disorders: Results from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC).
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  Data: <searchLink fieldCode="AR" term="%22Lev‐Ran%2C+Shaul%22">Lev‐Ran, Shaul</searchLink><br /><searchLink fieldCode="AR" term="%22Imtiaz%2C+Sameer%22">Imtiaz, Sameer</searchLink><br /><searchLink fieldCode="AR" term="%22Rehm%2C+Jürgen%22">Rehm, Jürgen</searchLink><br /><searchLink fieldCode="AR" term="%22Le+Foll%2C+Bernard%22">Le Foll, Bernard</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+on+Addictions%22">American Journal on Addictions</searchLink>. Mar2013, Vol. 22 Issue 2, p93-98. 6p. 2 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Substance+abuse%22">Substance abuse</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+disorders%22">Personality disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Psychoses%22">Psychoses</searchLink><br /><searchLink fieldCode="DE" term="%22Hallucinogenic+drugs%22">Hallucinogenic drugs</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Background and Objectives The association between substance use disorders (SUDs) and mental illness (MI) has been well established. Previous studies reporting this association in various clinical populations have not taken into account former substance use. This may be important as increased prevalence of substance use among individuals with MI may partially explain the strong association between SUDs and MI. Methods In this study we included only individuals with previous substance use and explored the association between lifetime diagnosis of MI and transition from substance use to SUDs. Analyses were conducted across six different categories of substances (alcohol, nicotine, cannabis, cocaine, hallucinogens, inhalants) based on a large representative US sample, the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC, n = 43,093). Results Lifetime diagnoses of any MI, and particularly personality disorders and psychotic disorders, were found to be associated with higher prevalence of transition from substance use to SUDs across most categories of substances. This association was particularly strong for nicotine (adjusted OR = 2.95 (2.72-3.20)). Conclusions and Scientific Significance This cross-sectional study expands on previous research by highlighting the association between lifetime diagnosis of any MI and increased rates of transition from substance use to SUDs across a range of substances. Longitudinal studies exploring temporal effects of this association are further needed. (Am J Addict 2013;22:93-98) [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal on Addictions is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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