Childhood Psychiatric Disorders as Risk Factor for Subsequent Substance Abuse: A Meta-Analysis.
Open accessAbstract
Meta-analysis finding that childhood ADHD, ODD, CD, and depression increase risk of later substance-related disorders, with substantial heterogeneity.
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Claims the paper makes
8 of 18 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
- Premisecitation
Two recent meta-analyses focused on childhood ADHD and the development of substance-related disorders prospectively showed an increased risk.
“Exceptions to the first limitation are 2 recent metaanalyses that focused on childhood attention-deficit/ hyperactivity disorder (ADHD) and the development of substance-related disorders prospectively, which showed an increased risk.6,7”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [6] Charach, 2011, Childhood attention-deficit/hyperactivity disorder and future substance use disorders: comparative meta-analyses, J Am Acad Child Adolesc Psychiatry source
- cites [7] Lee, 2011, Prospective association of childhood attention-deficit/hyperactivity disorder (ADHD) and substance use and abuse/dependence: a meta-analytic review, Clin Psychol Rev source
- Premisecitation
Heavy use is responsible for similar consequences (e.g., health, social) as dependence.
“We included DSMdefined outcomes (e.g., SUDs, alcohol use disorder) and heavy use, because heavy use is responsible for similar consequences (e.g., health, social) as dependence.16”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [16] Rehm, 2013, Defining substance use disorders: do we really need more than heavy use?, Alcohol Alcoholism source
- Interpretationcitation
The disorders included in anxiety disorders appear to have a differential risk for substance-related disorders.
“The disorders included in anxiety disorders appear to have a differential risk for substance-related disorders.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Wittchen, 2007, Cannabis use and cannabis use disorders and their relationship to mental disorders: a 10-year prospective-longitudinal community study in adolescents, Drug Alcohol Depend source
The Results (§3.3) and Discussion (§4; page numbers unavailable) report different associations for individual anxiety disorders: panic-anxiety predicted cannabis use, while specific phobias and GAD were associated with cannabis use disorder. This supports a differential pattern, but the study examined cannabis outcomes, not substance-related disorders generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingown data
Childhood ODD or CD is associated with an increased risk for drug-related disorder, with an odds ratio of 4.24.
“OR drugs 4.24, 95% CI 1.3.21.5.59”
- Also stated in: § Conduct Disorder. · plain
“Individuals with CD were at increased risk for developing alcohol-related disorder (OR 1.73), nicotine-related disorder (OR 4.22), drug-related disorder (OR 4.24), and any SUDs (OR 4.86”
Quote in the paperSubstantial claim - Also stated in: § Conduct Disorder. · plain
- Findingown data
In anxiety disorders, meta-regression did not show significant effects.
“Meta-regression did not show significant effects, but age at baseline and follow-up age lowered I 2”
Quote in the paperNot a substantial claim
- Findingown data
There was an indication for publication bias in the results concerning ADHD and the aggregated measurement of addiction and nicotine-related disorders.
“There also was an indication for publication bias in the results concerning ADHD and the aggregated measurement of addiction (Egger test t ¼ 3.78, p ¼ .001,failsafe N ¼ 5,003) and nicotine-related disorders (Egger test t ¼ 4.04, p ¼ .002,failsafe N ¼ 2,502).”
Quote in the paperNot a substantial claim - Findingown data
Childhood anxiety disorder is not associated with an increased risk for nicotine-related disorder, with an odds ratio of 1.23.
“nicotine-related disorder (OR 1.23)”
Quote in the paperNot a substantial claim - Findingown data
In ADHD, studies including participants with a clinically established diagnosis showed larger effect sizes compared with those including participants with questionnaire-based or structured interview-based diagnoses.
“Moreover, studies including participants with a clinically established diagnosis showed larger ESs compared with those studies including participants with questionnaire-based or structured interview-based diagnoses (Table 3).”
Quote in the paperNot a substantial claim - Findingown data
For all other outcomes, there was no evidence for publication bias.
“For all other outcomes, there was no evidence for publication bias (Table 2).”
Quote in the paperNot a substantial claim - Findingown data
Childhood ADHD is associated with an increased risk for drug-related disorder, with an odds ratio of 1.52.
“OR drugs 1.52, 95% CI 1.52-5.27”
- Also stated in: § Externalizing Disorders · plain
“individuals with ADHD were at increased risk for alcohol-related disorder (OR 2.15), nicotine-related disorder (OR 2.52), drug-related disorder (OR 1.52), and any SUDs (OR 2.61”
Quote in the paperSubstantial claim - Also stated in: § Externalizing Disorders · plain
- Findingown data
Childhood ODD or CD is associated with an increased risk for any substance use disorder, with an odds ratio of 4.86 (95% CI 3.09-7.56).
“OR SUDs 4.86, 95% CI 3.09-7.56”
- Also stated in: § Conduct Disorder. · plain
“Individuals with CD were at increased risk for developing alcohol-related disorder (OR 1.73), nicotine-related disorder (OR 4.22), drug-related disorder (OR 4.24), and any SUDs (OR 4.86”
Quote in the paperSubstantial claim - Also stated in: § Conduct Disorder. · plain
- Findingown data
In ADHD, meta-regression showed no significant effect of ODD or CD comorbidity.
“Meta-regression showed no other significant effects, including no effects of ODD or CD comorbidity.”
Quote in the paperNot a substantial claim - Findingreasoning
The risk for nicotine addiction in ADHD was higher in clinical samples than in community samples.
“First, the risk for nicotine addiction in ADHD was higher in clinical samples than in community samples.”
Quote in the paperNot a substantial claim - Findingown data
Anxiety disorders had a significantly lower risk for substance-related disorders compared with ADHD (Q[1] = 6.78, p = .009).
“Pairwise comparisons showed a significantly lower risk in anxiety disorders compared with externalizing disorders ADHD (Q[1] ¼ 6.78, p ¼ .009)”
Quote in the paperSubstantial claim - Findingown data
In depression, meta-regression showed no significant moderators.
“Metaregression showed no significant moderators, and lowered heterogeneity was found in the models with baseline age”
Quote in the paperNot a substantial claim - Findingown data
Childhood ADHD is associated with an increased risk for alcohol-related disorder, with an odds ratio of 2.15 (95% CI 1.56-2.97).
“OR alcohol 2.15, 95% CI 1.56-2.97”
- Also stated in: § Externalizing Disorders · plain
“individuals with ADHD were at increased risk for alcohol-related disorder (OR 2.15)”
Quote in the paperSubstantial claim - Also stated in: § Externalizing Disorders · plain
- Findingown data
Childhood anxiety disorder is not significantly associated with later addiction overall, with an odds ratio of 1.34 (95% CI 0.90-1.55).
“but not for anxiety disorders (n ¼ 15, OR 1.34, 95% CI 0.90-1.55,not significant).”
- Also stated in: § Internalizing Disorders · plain
“Analyses concerning anxiety disorders in childhood and later addiction showed no significant results (Table 2 and Figure 2).”
Quote in the paperSubstantial claim - Also stated in: § Internalizing Disorders · plain
- Findingown data
Childhood ADHD is associated with an increased risk for any substance use disorder, with an odds ratio of 2.61 (95% CI 1.77-3.84).
“OR SUDs 2.61, 95% CI 1.77-3.84”
- Also stated in: § Externalizing Disorders · plain
“individuals with ADHD were at increased risk for alcohol-related disorder (OR 2.15), nicotine-related disorder (OR 2.52), drug-related disorder (OR 1.52), and any SUDs (OR 2.61”
Quote in the paperSubstantial claim - Also stated in: § Externalizing Disorders · plain
- Findingown data
Childhood ADHD is associated with an increased risk for nicotine-related disorder, with an odds ratio of 2.52 (95% CI 2.01-3.15).
“OR nicotine 2.52, 95% CI 2.01-3.15”
- Also stated in: § Externalizing Disorders · plain
“individuals with ADHD were at increased risk for alcohol-related disorder (OR 2.15), nicotine-related disorder (OR 2.52), drug-related disorder (OR 1.52), and any SUDs (OR 2.61”
Quote in the paperSubstantial claim - Also stated in: § Externalizing Disorders · plain
- Findingown data
There was an indication for publication bias in the results concerning any mental disorder and the aggregated measurement of addiction (Egger test t = 4.34, p = .001, failsafe N = 4,387).
“Furthermore, bias was found in the results concerning any mental disorder and the aggregated measurement of addiction (Egger test t ¼ 4.34, p ¼ .001,failsafe N ¼ 4,387).”
Quote in the paperNot a substantial claim - Findingown data
Childhood depression is associated with a significantly increased risk for later addiction in the aggregated analysis, with an odds ratio of 2.03 (95% CI 1.47-2.81).
“depression (n ¼ 13, OR 2.03, 95% CI 1.47-2.81”
- Also stated in: § Internalizing Disorders · plain
“A significant increase in addictions was found in those with childhood depression (Table 2 and Figure 2).”
Quote in the paperSubstantial claim - Also stated in: § Internalizing Disorders · plain
- Findingown data
A random-effects model showed an increased risk for addiction in those with any childhood mental disorder, with an odds ratio of 2.19 (95% CI 1.81-2.63).
“A random-effects model showed an increased risk for addiction in those with a childhood mental disorder (OR 2.”
- Also stated in: § Mental Disorders in Childhood · plain
“19, 95% CI 1.81-2.63).”
Quote in the paperSubstantial claim - Also stated in: § Mental Disorders in Childhood · plain
- Findingown data
Childhood depression is associated with an increased risk for any substance use disorder, with an odds ratio of 2.20 (95% CI 1.41-3.43).
“OR SUDs 2.20, 95% CI 1.41-3.43”
- Also stated in: § Internalizing Disorders · plain
“disorder (OR 2.56), and SUDs (OR 2.20).”
Quote in the paperSubstantial claim - Also stated in: § Internalizing Disorders · plain
- Findingown data
There was a significant difference among childhood mental disorders in the risk for substance-related disorders (Q[3] = 8.89, p = .03).
“There was a significant difference among childhood mental disorders (Q[3] ¼ 8.89, p ¼ .03) in the risk for substancerelated disorders.”
Quote in the paperSubstantial claim - Findingown data
Childhood anxiety disorder is not associated with an increased risk for alcohol-related disorder, with an odds ratio of 0.85.
“but not for alcohol-related disorder (OR 0.85)”
Quote in the paperSubstantial claim - Findingown data
Childhood ODD or CD is associated with a significantly increased risk for later addiction in the aggregated analysis, with an odds ratio of 3.18 (95% CI 1.97-5.80).
“ODD or CD (n ¼ 8, OR 3.18, 95% CI 1.97-5.80”
- Also stated in: § Conduct Disorder. · plain
“Analyses showed a significantly increased risk to develop addiction in individuals with childhood ODD or CD (Table 2 and Figure 2).”
Quote in the paperSubstantial claim - Also stated in: § Conduct Disorder. · plain
- Findingown data
Childhood depression is associated with an increased risk for alcohol-related disorder, with an odds ratio of 1.10 (95% CI 1.02-1.19).
“OR alcohol 1.10, 95% CI 1.02-1.19”
- Also stated in: § Internalizing Disorders · plain
“Individuals with childhood depression were at increased risk of alcohol-related disorders (OR 1.10)”
Quote in the paperSubstantial claim - Also stated in: § Internalizing Disorders · plain
- Findingown data
Childhood ODD or CD is associated with an increased risk for alcohol-related disorder, with an odds ratio of 1.73 (95% CI 1.51-2.00).
“OR alcohol 1.73, 95% CI 1.51-2.00”
- Also stated in: § Conduct Disorder. · plain
“Individuals with CD were at increased risk for developing alcohol-related disorder (OR 1.73)”
Quote in the paperSubstantial claim - Also stated in: § Conduct Disorder. · plain
- Findingown data
Studies with a higher quality rating showed higher odds ratios.
“Third, studies with a higher quality rating showed higher ORs”
Quote in the paperSubstantial claim - Findingown data
Childhood depression is associated with an increased risk for nicotine-related disorder, with an odds ratio of 2.56 (95% CI 1.89-3.48).
“OR nicotine 2.56, 95% CI 1.89-3.48”
- Also stated in: § Internalizing Disorders · plain
“Individuals with childhood depression were at increased risk of alcohol-related disorders (OR 1.10), nicotine-related”
Quote in the paperSubstantial claim - Also stated in: § Internalizing Disorders · plain
- Findingown data
Anxiety disorders had a significantly lower risk for substance-related disorders compared with ODD or CD (Q[1] = 6.06, p = .014).
“and ODD or CD (Q[1] ¼ 6.06, p ¼ .014).”
Quote in the paperSubstantial claim - Findingown data
Depression did not differ from ADHD in risk for substance-related disorders (Q[1] = 1.55, p = .21).
“Depression did not differ from ADHD (Q[1] ¼ 1.55, p ¼ .21)”
Quote in the paperNot a substantial claim - Findingown data
Childhood ADHD is associated with a significantly increased risk for later addiction in the aggregated analysis, with an odds ratio of 2.27 (95% CI 1.98-3.67).
“Meta-analysis showed a significantly increased risk for addiction in ADHD (n ¼ 23, odds ratio [OR] 2.27, 95% CI 1.98-3.67”
- Also stated in: § Externalizing Disorders · plain
“Analyses showed an increased risk for later addiction in individuals with ADHD in childhood (Table 2 and Figure 2).”
Quote in the paperSubstantial claim - Also stated in: § Externalizing Disorders · plain
- Findingnone given
In ADHD, no single study was responsible for the significant results.
“No single study was responsible for the significant results.”
Quote in the paperNot a substantial claim - Findingown data
There was an indication for publication bias in the results concerning depression and addiction (Egger test t = 4.34, p = .002, failsafe N = 221).
“There was an indication for publication bias in the results concerning depression and addiction (Egger test t ¼ 4.34, p ¼ .002,failsafe N ¼ 221).”
Quote in the paperNot a substantial claim - Findingown data
Depression did not differ from ODD or CD in risk for substance-related disorders (Q[1] = 1.96, p = .16).
“or ODD or CD (Q [1] ¼ 1.96, p ¼ .16).”
Quote in the paperSubstantial claim - Findingown data
Childhood anxiety disorder is associated with an increased risk for drug-related disorder, with an odds ratio of 1.60.
“we found that individuals with childhood anxiety disorders were at increased risk for drug-related disorder (OR 1.60)”
Quote in the paperSubstantial claim - Findingown data
Childhood ODD or CD is associated with an increased risk for nicotine-related disorder, with an odds ratio of 4.22 (95% CI 3.21-5.55).
“OR nicotine 4.22, 95% CI 3.21-5.55”
- Also stated in: § Conduct Disorder. · plain
“Individuals with CD were at increased risk for developing alcohol-related disorder (OR 1.73), nicotine-related disorder (OR 4.22), drug-related disorder (OR 4.24), and any SUDs (OR 4.86”
Quote in the paperSubstantial claim - Also stated in: § Conduct Disorder. · plain
- Findingown data
Childhood ODD could increase the risk of developing substance-related disorders.
“We found that not only childhood ADHD but also childhood ODD, CD, and depression could increase the risk of developing substance-related disorders.”
Quote in the paperSubstantial claim - Findingown data
ODD or CD was associated with a significantly increased risk of nicotine dependence (OR 4.22, 95% CI 3.21-5.55, p < .001).
“| | Nicotine | Fixed | 3 | 4.22 | 3.21e5.55 | 10.27 | <.001 | 0.02 | 2.53 | .28 | 21.00 | - | - | 68 |”
Quote in the paperSubstantial claim - Findingown data
The study did not find an effect of gender.
“Although our study did not have sufficient power to test this interaction directly, we did not find an effect of gender and did not find a difference in gender among sample types (t ¼ À1.88, p ¼ .26).”
Quote in the paperNot a substantial claim - Findingown data
ADHD was associated with a significantly increased risk of addiction (OR 2.27, 95% CI 1.98-3.67, p < .001).
“| ADHD | Addiction | Random | 23 | 2.27 | 1.98e3.67 | 0.27 | <.001 | 0.44 | 371.90 | <.001 | 94.08 | 3.78 | .001 | 5,003 |”
Quote in the paperSubstantial claim - Findingown data
Childhood ADHD could increase the risk of developing substance-related disorders.
“We found that not only childhood ADHD but also childhood ODD, CD, and depression could increase the risk of developing substance-related disorders.”
Quote in the paperSubstantial claim - Findingown data
ODD or CD was associated with a significantly increased risk of substance use disorder (OR 4.86, 95% CI 3.09-7.56, p < .001).
“| | SUD | Fixed | 3 | 4.86 | 3.09e7.56 | 6.89 | <.001 | 0.53 | 8.54 | .01 | 76.57 | - | - | 34 |”
Quote in the paperSubstantial claim - Findingown data
Depression was associated with a significantly increased risk of addiction (OR 2.03, 95% CI 1.47-2.81, p < .001).
“| Depression | Addiction | Random | 13 | 2.03 | 1.47e2.81 | 4.26 | <.001 | 0.23 | 61.91 | <.001 | 80.62 | 4.39 | .001 | 211 |”
Quote in the paperSubstantial claim - Findingown data
Among studies on ADHD, there was a higher risk in those including a clinical sample rather than a community sample.
“Among the studies on ADHD, we found a higher risk in those including a clinical sample rather than a community sample, but in ODD or CD, anxiety disorder, and depression, only community samples were included.”
Quote in the paperNot a substantial claim - Findingown data
ADHD was associated with a significantly increased risk of substance use disorder (OR 2.61, 95% CI 1.77-3.84, p < .001).
“| | SUD | Random | 8 | 2.61 | 1.77e3.84 | 4.87 | <.001 | 0.13 | 12.57 | .08 | 44.33 | - | - | 80 |”
Quote in the paperSubstantial claim - Findingown data
ADHD was associated with a significantly increased risk of drug use disorder (OR 1.52, 95% CI 1.52-5.27, p = .001).
“| | Drugs | Random | 12 | 1.52 | 1.52e5.27 | 3.28 | .001 | 1.04 | 339.16 | <.001 | 96.76 | 4.04 | .002 | 2,502 |”
Quote in the paperSubstantial claim - Findingown data
The study did not find a difference in gender among sample types (t = -1.88, p = .26).
“Although our study did not have sufficient power to test this interaction directly, we did not find an effect of gender and did not find a difference in gender among sample types (t ¼ À1.88, p ¼ .26).”
Quote in the paperNot a substantial claim - Findingown data
Findings for childhood anxiety disorders are highly heterogeneous.
“Childhood anxiety disorders do not seem to increase the risk for future substance-related disorders, although findings are highly heterogeneous.”
Quote in the paperNot a substantial claim - Findingown data
ADHD was associated with a significantly increased risk of nicotine dependence (OR 2.52, 95% CI 2.01-3.15, p < .001).
“| | Nicotine | Random | 14 | 2.52 | 2.01e3.15 | 8.03 | <.001 | 0.07 | 22.47 | .05 | 42.14 | 0.93 | .37 | 422 |”
Quote in the paperSubstantial claim - Findingown data
Childhood anxiety disorders do not seem to increase the risk for future substance-related disorders.
“Childhood anxiety disorders do not seem to increase the risk for future substance-related disorders, although findings are highly heterogeneous.”
Quote in the paperSubstantial claim - Findingown data
ODD or CD was associated with a significantly increased risk of drug use disorder (OR 4.24, 95% CI 3.21-5.59, p < .001).
“| | Drugs | Fixed | 4 | 4.24 | 3.21e5.59 | 10.19 | <.001 | 0.10 | 6.12 | .11 | 51.01 | - | - | 84 |”
Quote in the paperSubstantial claim - Findingown data
Anxiety was not associated with a significantly increased risk of substance use disorder (OR 1.22, 95% CI 0.82-1.81, p = .34).
“| | SUD | Random | 8 | 1.22 | 0.82e1.81 | 0.96 | .34 | 0.19 | 21.32 | .003 | 67.16 | - | - | 0 |”
Quote in the paperNot a substantial claim - Findingown data
Anxiety was associated with a significantly increased risk of drug use disorder (OR 1.60, 95% CI 1.12-2.29, p = .01).
“| | Drugs | Fixed | 3 | 1.60 | 1.12e2.29 | 2.58 | .01 | 0.10 | 2.97 | .22 | 32.70 | - | - | 0 |”
Quote in the paperSubstantial claim - Findingown data
The percentage of children with comorbid ODD or CD within studies decreased heterogeneity.
“Using meta-regression, we found no significant effect of the percentage of children with comorbid ODD or CD within studies on the development of addiction and nicotine-related disorders; however, it did decrease heterogeneity.”
Quote in the paperNot a substantial claim - Findingown data
Depression was associated with a significantly increased risk of alcohol use disorder (OR 1.10, 95% CI 1.02-1.19, p = .017).
“| | Alcohol | Fixed | 3 | 1.10 | 1.02e1.19 | 2.39 | .017 | 0.032 | À3.41 | .18 | 41.32 | - | - | - |”
Quote in the paperSubstantial claim - Findingown data
ODD or CD was associated with a significantly increased risk of addiction (OR 3.38, 95% CI 1.97-5.80, p < .001).
“| ODD or CD | Addiction | Random | 9 | 3.38 | 1.97e5.80 | 4.41 | <.001 | 0.59 | 108.09 | <.001 | 92.60 | - | - | 229 |”
Quote in the paperSubstantial claim - Findingown data
Depression was associated with a significantly increased risk of substance use disorder (OR 2.20, 95% CI 1.41-3.43, p = .001).
“| | SUD | Random | 7 | 2.20 | 1.41e3.43 | 3.52 | .001 | 0.18 | 13.25 | .039 | 54.71 | - | - | 40 |”
Quote in the paperSubstantial claim - Findingown data
Depression was associated with a significantly increased risk of nicotine dependence (OR 2.56, 95% CI 1.89-3.48, p < .001).
“| | Nicotine | Fixed | 3 | 2.56 | 1.89e3.48 | 5.98 | <.001 | 0 | 0.59 | .74 | 0 | - | - | 25 |”
Quote in the paperSubstantial claim - Findingown data
Childhood CD could increase the risk of developing substance-related disorders.
“We found that not only childhood ADHD but also childhood ODD, CD, and depression could increase the risk of developing substance-related disorders.”
Quote in the paperSubstantial claim - Findingown data
ADHD was associated with a significantly increased risk of alcohol use disorder (OR 2.15, 95% CI 1.56-2.97, p < .001).
“| | Alcohol | Random | 13 | 2.15 | 1.56e2.97 | 4.64 | <.001 | 0.20 | 107.82 | <.001 | 88.87 | 1.35 | .20 | 1,058 |”
Quote in the paperSubstantial claim - Findingown data
Using meta-regression, the percentage of children with comorbid ODD or CD within studies had no significant effect on the development of addiction and nicotine-related disorders.
“Using meta-regression, we found no significant effect of the percentage of children with comorbid ODD or CD within studies on the development of addiction and nicotine-related disorders; however, it did decrease heterogeneity.”
Quote in the paperSubstantial claim - Findingown data
ODD or CD was associated with a significantly increased risk of alcohol use disorder (OR 1.73, 95% CI 1.51-2.00, p < .001).
“| | Alcohol | Fixed | 4 | 1.73 | 1.51e2.00 | 7.72 | <.001 | 6.84 | 54.85 | <.001 | 94.53 | - | - | 92 |”
Quote in the paperSubstantial claim - Findingown data
Anxiety was not associated with a significantly increased risk of addiction (OR 1.15, 95% CI 0.90-1.55, p = .27).
“| Anxiety | Addiction | Random | 14 | 1.15 | 0.90e1.55 | 1.21 | .27 | 0.55 | 34.02 | .001 | 61.79 | 0.40 | .69 | 1 |”
Quote in the paperNot a substantial claim - Findingown data
Childhood depression could increase the risk of developing substance-related disorders.
“We found that not only childhood ADHD but also childhood ODD, CD, and depression could increase the risk of developing substance-related disorders.”
Quote in the paperSubstantial claim - Findingown data
Anxiety was not associated with a significantly increased risk of nicotine dependence (OR 1.23, 95% CI 0.08-1.97, p = .38).
“| | Nicotine | Fixed | 3 | 1.23 | 0.08e1.97 | 0.88 | .38 | 0.04 | 2.479 | .29 | 19.32 | - | - | 0 |”
Quote in the paperNot a substantial claim - Findingown data
Anxiety was not associated with a significantly increased risk of alcohol use disorder (OR 0.85, 95% CI 0.64-1.13, p = .26).
“| | Alcohol | Random | 5 | 0.85 | 0.64e1.13 | À1.14 | .26 | 0.02 | 4.69 | .32 | 14.64 | - | - | 0 |”
Quote in the paperNot a substantial claim - Premisecitation
Previous meta-analyses have not solely investigated prospective relations, limiting inferences about directionality.
“Limitations include that most meta-analyses have not solely investigated prospective relations, 5 limiting inferences about directionality”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Lev-Ran, 2014, The association between cannabis use and depression: a systematic review and meta-analysis of longitudinal studies, Psychol Med source
- Study design and conductown data
For ODD or CD, not enough studies were available (n = 8) to conduct a meta-regression.
“However, not enough studies were available (n ¼ 8) to conduct a meta-regression.”
Quote in the paperNot a substantial claim - Study design and conductown data
In anxiety disorders, leave-one-out analyses did not show that removal of any studies would lead to a change in results.
“Leave-one-out analyses did not show that removal of any studies would lead to a change in results.”
Quote in the paperNot a substantial claim - Premisereasoning
There is a lack of comparative meta-analyses that assess risk for substance abuse across different mental health disorders.
“and a lack of comparative meta-analyses that assess risk for substance abuse across different mental health disorders.”
Quote in the paperSubstantial claim - Study design and conductown data
The study did not have sufficient power to test the interaction directly.
“Although our study did not have sufficient power to test this interaction directly, we did not find an effect of gender and did not find a difference in gender among sample types (t ¼ À1.88, p ¼ .26).”
Quote in the paperNot a substantial claim - Interpretationcitation
ADHD does not solely increase the risk for substance-related disorders.
“However, a meta-analysis by Serra-Pinheiro et al. 67 that included only studies on ADHD that statistically adjusted for the impact of comorbid ODD or CD found no significant increase of illicit substance use, suggesting that ADHD does not solely increase the risk for substance-related disorders.”
Quote in the paperSubstantial claim - Study design and conductown data
Restricting inclusion to English-language peer-reviewed journals may have biased the results.
“We included only articles that were published in English-language peer-reviewed journals, leading to possible bias in our results.”
Quote in the paperNot a substantial claim - Interpretationown data
Because the failsafe N was high, inclusion of unpublished or other language results would not have led to other results.
“However, because the failsafe N was high, we are not concerned that inclusion of unpublished or other language results would have led to other results.”
Quote in the paperSubstantial claim - Premisecitation
A meta-analysis by Serra-Pinheiro et al. found no significant increase of illicit substance use in studies on ADHD that statistically adjusted for comorbid ODD or CD.
“However, a meta-analysis by Serra-Pinheiro et al. 67 that included only studies on ADHD that statistically adjusted for the impact of comorbid ODD or CD found no significant increase of illicit substance use, suggesting that ADHD does not solely increase the risk for substance-related disorders.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Serra-Pinheiro et al. 67
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
The Egger test indicated possible publication bias for 4 outcomes (ADHD and depression and all addiction disorders and the aggregated measurement of addiction and ADHD and nicotine-related disorders).
“Furthermore, the Egger test indicated possible publication bias for 4 outcomes (i.e., for ADHD and depression and all addiction disorders and the aggregated measurement of addiction and for ADHD and nicotine-related disorders).”
Quote in the paperNot a substantial claim - Interpretationown data
The percentage of children with concomitant ODD or CD influences only in part the severity of substance-related outcomes later in life for those who had childhood ADHD.
“From this finding, it can be concluded that the percentage of children with concomitant ODD or CD influences only in part the severity of substance-related outcomes later in life for those who had childhood ADHD.”
Quote in the paperSubstantial claim - Study design and conductown data
In ODD or CD, anxiety disorder, and depression, only community samples were included.
“Among the studies on ADHD, we found a higher risk in those including a clinical sample rather than a community sample, but in ODD or CD, anxiety disorder, and depression, only community samples were included.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 18
- May combine two claims. 7
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother study found the highest risk for substance-related disorders in childhood internalizing disorders.
“another found the highest risk in childhood internalizing disorders, 9”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [9] Wittchen, 2007, Cannabis use and cannabis use disorders and their relationship to mental disorders: a 10-year prospective-longitudinal community study in adolescents, Drug Alcohol Depend source
The Discussion (page unavailable) says the most pronounced associations with cannabis use and cannabis use disorder were among people with multiple disorders, not those with childhood internalizing disorders. It also says the implications of early childhood conditions for that risk were not addressed in this paper. (LLM, conf=0.85)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationreasoningAlthough self-medication plays a part in the co-occurrence of mental health disorders and substance-related disorders, a shared liability between the disorders likewise plays a role.
“We suggest that although selfmedication plays a part in the co-occurrence of mental health disorders and substance-related disorders, a shared liability between the disorders likewise plays a role.”
Quote in the paperNot a substantial claim1 of 4 sources checked- cites [60][61][62]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [63] Pettersson, 2016, Common psychiatric disorders share the same genetic origin: a multivariate sibling study of the Swedish population, Mol Psychiatry source
- cites [64] 2013, Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis, Lancet source
The Introduction and Results discuss shared genetic liability among five psychiatric disorders, but none of the five is a substance-related disorder. Searches for self-medication, substance use, addiction, and alcohol dependence found no passage addressing the claimed co-occurrence or its proposed explanations. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [65] Hill, 1999, Psychopathology and achievement in children at high risk for developing alcoholism, J Am Acad Child Adolesc Psychiatry source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne study found the highest risk for substance-related disorders in childhood externalizing disorders.
“One study found the highest risk for substance-related disorders in childhood externalizing disorders, 8”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [8] Gau, 2007, Psychiatric and psychosocial predictors of substance use disorders among adolescents: longitudinal study, Br J Psychiatry source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother study found a decreased risk compared with controls in those with childhood anxiety disorders.
“and another study found a decreased risk compared with controls in those with childhood anxiety disorders.8”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [8] Gau, 2007, Psychiatric and psychosocial predictors of substance use disorders among adolescents: longitudinal study, Br J Psychiatry source
Table 3 (page not provided) reports a lower estimated risk of substance use disorder for adolescents with anxiety disorder than for those without it (hazard ratio 0.69 versus 1.00). But the 95% confidence interval (0.29–1.65) includes 1, and the Psychiatric predictors section says anxiety disorders did not significantly predict substance use disorder. The claim omits that uncertainty. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother study found a relatively equal risk for childhood internalizing and externalizing disorders.
“and another found a relatively equal risk for childhood internalizing and externalizing disorders.10”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] Copeland, 2009, Childhood and adolescent psychiatric disorders as predictors of young adult disorders, Arch Gen Psychiatry source
The Results sections on childhood-to-young-adulthood prediction report later disorders associated with childhood anxiety or depression and with childhood conduct or oppositional defiant disorder. They do not compare the risks for internalizing and externalizing disorders as groups or establish that those risks are relatively equal. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). May combine two claims. The quote only partly states this claim.
Findingown dataChildhood anxiety disorder is not associated with an increased risk for any substance use disorder, with an odds ratio of 1.22.
“or SUDs (OR 1.22”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe meta-analysis identified 37 studies including more than 762,187 participants for quantitative analyses.
“Thirty-seven studies including more than 762,187 participants were identified for quantitative analyses.”
- Also stated in: § Studies Included in Meta-Analysis · plain
“Thirty-seven studies including 762,187 participants were identified for quantitative analyses; for a summary, see Table 1”
Quote in the paperSubstantial claim- Also stated in: § Studies Included in Meta-Analysis · plain
May combine two claims.
Findingown dataIn ADHD, meta-regression showed significantly larger effect sizes in studies including participants younger at baseline and those with higher quality ratings.
“Meta-regression showed significantly larger ESs in those studies including participants younger at baseline and those with higher quality ratings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataNinety-seven effect sizes were extracted for analyses.
“Ninety-seven effects sizes were extracted for analyses.”
- Also stated in: § Studies Included in Meta-Analysis · plain
“In total, 97 ESs were extracted for analyses.”
Quote in the paperNot a substantial claim- Also stated in: § Studies Included in Meta-Analysis · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataA total response rate of 73% was reached when contacting investigators for missing data.
“A total response rate of 73% was reached.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenPublication bias was assessed using funnel plots, the Egger test, and the Rosenthal failsafe N.
“Publication bias was assessed using funnel plots, the Egger test, and the Rosenthal failsafe N.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo researchers conducted all review stages.
“Two researchers conducted all review stages.”
- Also stated in: § METHOD Study Selection · plain
“Authors A.G. and T.J. (postdoctoral researchers) performed the selection of studies.”
Quote in the paperNot a substantial claim- Also stated in: § METHOD Study Selection · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne study found the highest risk for substance-related disorder in those with childhood anxiety disorders compared with other disorders.
“one study found the highest risk for substance-related Supplemental material cited in this article is available online.disorder in those with childhood anxiety disorders compared with other disorders, 4”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Conway, 2016, Association of lifetime mental disorders and subsequent alcohol and illicit drug use: results from the National Comorbidity Survey–Adolescent Supplement, J Am Acad Child Adolesc Psychiatry source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationSome studies have shown that ADHD is a risk factor for substance-related disorders, whereas others have shown that the risk for substance-related disorders is carried by comorbid ODD or CD.
“Some studies have shown that ADHD is a risk factor for substance-related disorders, [12][13][14] whereas others have shown that the risk for substance-related disorders is carried by comorbid ODD or CD. 15”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12][13][14]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [15] August, 2006, Prospective study of adolescent drug use among community samples of ADHD and non-ADHD participants, J Am Acad Child Adolesc Psychiatry source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMeta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed.
“Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed.”
- Also stated in: § Abstract · plain
“Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were followed (available on request).”
Quote in the paperNot a substantial claim- Also stated in: § Abstract · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAuthors A.G. and T.J. independently rated the quality of the selected studies using the Newcastle-Ottawa Scale.
“Authors A.G. and T.J. independently rated the quality of the selected studies using the Newcastle-Ottawa Scale.24”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Wells G, Shea B, O’Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Published 2014.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInterrater discrepancies were resolved by consensus.
“Interrater discrepancies were resolved by consensus.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSubstantial agreement was found between the authors for quality ratings (k = 0.92).
“Substantial agreement was found between the authors (k ¼ 0.92).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataIn depression, leave-one-out analyses did not show that removal of any studies would lead to a change in results.
“Leave-oneout analyses did not show that removal of any studies would lead to a change in results.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe risk found in persons with a childhood mental health disorder is not the result of poor quality studies but is truly concerning.
“indicating the risk found in persons with a childhood mental health disorder is not the result of poor quality studies but is truly concerning.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningOne possible explanation for the inconsistent results is that Serra-Pinheiro et al. included studies that were statistically adjusted for other measurements, decreasing the ecologic validity of their findings.
“One possible explanation for these inconsistent results is that Serra-Pinheiro et al. included studies that were statistically adjusted for the impact of not only comorbid ODD or CD but also other measurements, such as age, gender, socioeconomic status, parental substance use, and comorbidities other than ODD or CD, significantly decreasing the ecologic validity of their findings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe use of stringent criteria for selecting studies applied across disorders increases the comparability of the results.
“The use of stringent criteria for selecting studies applied across disorders increases the comparability of the results.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe study was able to assess only the effects of comorbid ODD or CD in ADHD but did not have data to study the effects of other comorbidities in other disorders.
“We were able to assess only the effects of comorbid ODD or CD in ADHD but did not have data to study the effects of other comorbidities in other disorders.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Including high-risk participants (children of parents with a psychiatric disorder or substance-related problems, or participants with prenatal exposure to substances) would artificially inflate the risk of substance-related problems and cloud the generalizability of results concerning mental health disorders.
“We did not consider studies that included high-risk participants (i.e., children of parents with a psychiatric disorder or substance-related problems or participants with prenatal exposure to substances), because we believed this would artificially inflate the risk of substance-related problems, clouding the generalizability of results concerning mental health disorders.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
ADHD frequently co-occurs with other psychiatric conditions, particularly depression, bipolar disorder, autism, anxiety, oppositional defiant disorder, conduct disorder, eating disorders, and substance use disorders.
“Many large epidemiologic and clinical studies show that ADHD often co-occurs with other psychiatric disorders, especially depression, bipolar disorder, autism spectrum disorders, anxiety disorders, oppositional defiant disorder, conduct disorder, eating disorders, and substance use disorders”
From The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder (2021) · cites this paper as Groenman et al., 2017
The discussion under Figure 2 explicitly describes ODD and conduct disorder as comorbid with childhood ADHD. The Externalizing Disorders section reports an increased risk of later substance use disorders, not their co-occurrence with ADHD. The paper does not establish frequent co-occurrence with the other listed conditions or document the claimed breadth of epidemiologic and clinical evidence; page numbers were not available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIn all four meta-analyses, childhood ADHD was associated with an increased risk of SUD in adolescence or early adulthood compared with non-ADHD controls, with mean odds ratios ranging from 1.34 to 3.48 for different types of SUD.
“In all four meta-analyses, childhood ADHD was associated with an increased risk of SUD in adolescence or early adulthood, compared with non-ADHD controls, with mean odds-ratios (OR) ranging from 1.34 to 3.48 (small-to-moderate association) for different types of SUD.”
From Treatment of Adolescents with Concurrent Substance Use Disorder and Attention-Deficit/Hyperactivity Disorder: A Systematic Review (2021) · cites this paper as [2]
The Externalizing Disorders section reports increased risks for four substance-related outcomes among people with childhood ADHD. But Table 2 gives pooled odds ratios of 1.52–2.61 for those outcomes, not the claimed 1.34–3.48; the Abstract uses 1.34 for anxiety disorders and 3.48 as a confidence-interval bound for depression-related nicotine disorder. (LLM, conf=0.91)
Experimental — accuracy not yet measuredChild- and adolescent-onset psychopathology increases the risk for developing substance use and substance use disorders.
“Child- and adolescent-onset psychopathology is known to increase the risk for developing substance use and substance use disorders (SUDs).”
From The Impact of Pharmacotherapy of Childhood-Onset Psychiatric Disorders on the Development of Substance Use Disorders (2022) · cites this paper as Groenman et al. 2017
The Mental Disorders in Childhood section reports increased later addiction risk among those with childhood mental disorders, and the Discussion reports increased risks of substance-related disorders for several childhood diagnoses. The Method: Study Selection section says the outcomes included disorders and heavy use, but not substance use in general; that broader part of the claim is not established by this paper. (LLM, conf=0.83)
Experimental — accuracy not yet measuredSimilar increased SUD risk findings have been shown for virtually all major psychiatric disorders of childhood.
“Similar findings have been shown for virtually all major psychiatric disorders of childhood (Groenman et al. 2017).”
From The Impact of Pharmacotherapy of Childhood-Onset Psychiatric Disorders on the Development of Substance Use Disorders (2022) · cites this paper as Groenman et al. 2017
The Abstract reports increased later substance-related disorder risk for childhood ADHD, ODD or CD, and depression. But it says anxiety disorders do not seem to increase that risk, so the claim's 'virtually all major psychiatric disorders' wording overstates the findings. Page numbers are not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA meta-analysis found that ADHD was associated with more than twofold greater odds of alcohol-use disorders and nicotine-related disorder.
“A meta-analysis found that ADHD was associated with a more than twofold greater odds of alcohol-use disorders (13 studies, over 20,000 participants) and nicotine-related disorder (14 studies, over 1,800 participants) (Groenman et al., 2017).”
From The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder (2021) · cites this paper as Groenman et al., 2017
Childhood ADHD is a risk factor for early substance use initiation and the development of substance use disorders in adolescence and early adulthood.
“Childhood attention-deficit/hyperactivity disorder (ADHD) is a risk factor for the development of substance abuse and substance use disorders (SUD) in adolescence and (early) adulthood.”
From Treatment of Adolescents with Concurrent Substance Use Disorder and Attention-Deficit/Hyperactivity Disorder: A Systematic Review (2021) · cites this paper as [2]
Individuals with ADHD are two to three times more likely to develop an SUD.
“Similarly, individuals with attention-deficit/hyperactivity disorder (ADHD) are two to three times more likely to develop an SUD (Wilens et al. 2011; Groenman et al. 2017).”
From The Impact of Pharmacotherapy of Childhood-Onset Psychiatric Disorders on the Development of Substance Use Disorders (2022) · cites this paper as Groenman et al. 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Publication-bias finding is assigned to nicotine instead of drugs
MajorThe text attributes a significant Egger test and failsafe N of 2,502 to nicotine. Table 2 assigns those figures to drugs; its nicotine row instead gives a nonsignificant Egger test (p = .37).
“and nicotine-related disorders (Egger test t ¼ 4.04, p ¼ .002,failsafe N ¼ 2,502).”
“| | Drugs | Random | 12 | 1.52 | 1.52e5.27 | 3.28 | .001 | 1.04 | 339.16 | <.001 | 96.76 | 4.04 | .002 | 2,502 |”
Depression publication-bias figures disagree
MinorThe text and Table 2 give different Egger-test statistics, p values, and failsafe Ns for depression and addiction, although both indicate publication bias.
“depression and addiction (Egger test t ¼ 4.34, p ¼ .002,failsafe N ¼ 221).”
“| Depression | Addiction | Random | 13 | 2.03 | 1.47e2.81 | 4.26 | <.001 | 0.23 | 61.91 | <.001 | 80.62 | 4.39 | .001 | 211 |”
Anxiety pooled result differs between abstract and table
MinorThe abstract reports 15 studies and an OR of 1.34, while Table 2 reports 14 and an OR of 1.15 for anxiety and addiction.
“but not for anxiety disorders (n ¼ 15, OR 1.34, 95% CI 0.90-1.55,not significant).”
“| Anxiety | Addiction | Random | 14 | 1.15 | 0.90e1.55 | 1.21 | .27 | 0.55 | 34.02 | .001 | 61.79 | 0.40 | .69 | 1 |”
ODD/CD pooled result differs between abstract and table
MinorThe abstract gives eight studies and a pooled OR of 3.18; Table 2 gives nine and an OR of 3.38 for the same addiction outcome.
“ODD or CD (n ¼ 8, OR 3.18, 95% CI 1.97-5.80;”
“| ODD or CD | Addiction | Random | 9 | 3.38 | 1.97e5.80 | 4.41 | <.001 | 0.59 | 108.09 | <.001 | 92.60 | - | - | 229 |”
Study categories add up to 39, not 37
MinorThe stated counts for studies of individual disorders and combinations sum to 39, whereas the paper reports 37 studies in the quantitative analysis.
Reported 37 · recomputed 39
“Eighteen studies reported solely on ADHD, 1 study reported on ODD and CD, 8 studies reported on anxiety disorders, 7 reported on depression, and 5 studies reported on combinations of these disorders.”
Conduct-disorder sample exceeds the reported total
MinorThe paper reports 434 participants with ODD or CD across the included studies, but its study summary lists 873 participants with CD in one study alone.
“These studies included 22,029 participants with ADHD, 434 participants with ODD or CD, 1,433 participants with anxiety disorder, and 2,451 participants with depression.”
“Heron et al., 2013 53 CD CD 873, control 2,714”
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Depressive symptoms and smoking among Hong Kong Chinese adolescents
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Stimulant treatment of ADHD and cigarette smoking: a meta-analysis
Schoenfelder, E. N., Faraone, S. V., & Kollins, S. H. (2014) · Pediatrics · doi:10.1542/peds.2014-0179 · Cited by 55 · see citing works
Smoking and depressive symptoms in Chinese elderly in Hong Kong
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Psychopathology and achievement in children at high risk for developing alcoholism
HILL, S. Y., LOCKE, J., LOWERS, L., & CONNOLLY, J. (1999) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199907000-00019 · Cited by 51 · see citing works
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Conduct problem trajectories and alcohol use and misuse in mid to late adolescence
Heron, J., Maughan, B., Dick, D. M., Kendler, K. S., Lewis, G., Macleod, J., Munafo, M. R., & Hickman, M. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.05.025 · Cited by 36 · see citing works
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Anxiety disorders and risk for alcohol use disorders: The moderating effect of parental support
Gorka, S. M., Shankman, S. A., Olino, T. M., Seeley, J. R., Kosty, D. B., & Lewinsohn, P. M. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.04.021 · Cited by 14 · see citing works
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Adolescent smoking and depression/anxiety disorders: evidence for a bidirectional association
Martinez-Hernaez, A., & Abbas, I. (2015) · European Psychiatry · doi:10.1016/s0924-9338(15)30153-x · Cited by 9 · see citing works
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Faraone, S. V., Banaschewski, T., Coghill, D., Zheng, Y., Biederman, J., Bellgrove, M. A., Newcorn, J. H., Gignac, M., Al Saud, N. M., Manor, I., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.022 · Cited by 1,545 · see citing works
“129 A meta-analysis found that ADHD was associated with a more than twofold greater odds of alcohol-use disorders (13 studies, S.V. Faraone et al. over 20,000 participants) and nicotine-related disorder (14 studies, over 1800 participants) (Groenman et al., 2017).”
Danielson, M. L., Bitsko, R. H., Ghandour, R. M., Holbrook, J. R., Kogan, M. D., & Blumberg, S. J. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2017.1417860 · Cited by 1,181 · see citing works
“…increased risk of hospital admissions and injuries, increased substance use and risk of substance use disorder, and reduced income and participation in labor markets as adults (Fleming et al., 2017; Fletcher, 2014; Groenman, Janssen, & Oosterlaan, 2017; Molina et al., 2013; Ros & Graziano, 2017).”
Thapar, A., Eyre, O., Patel, V., & Brent, D. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01012-1 · Cited by 869 · see citing works
“High risk behaviours associated with depression in young people, include increase in suicide attempts 21 , alcohol, nicotine and substance use 30 , and risky sexual behaviours 31,32 .”
Fairchild, G. F., Hawes, D. J., Frick, P. J., Copeland, W., Odgers, C. L., Franke, B., Freitag, C. M., & Brito, S. A. D. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0095-y · Cited by 426 · see citing works
Danielson, M. L., Claussen, A. H., Bitsko, R. H., Katz, S. M., Newsome, K., Blumberg, S. J., Kogan, M. D., & Ghandour, R. (2024) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2024.2335625 · Cited by 347 · see citing works
“Approximately 60% of children with ADHD have co-occurring mental, behavioral, and developmental disorders (Cuffe et al., 2020; Danielson, Bitsko, et al., 2018; Faraone et al., 2021; Groenman et al., 2017), also known as “complex ADHD” (Barbaresi et al., 2020).”
BackgroundChoi, W.-S., Woo, Y. S., Wang, S.-M., Lim, H. K., & Bahk, W.-M. (2022) · PLOS ONE · doi:10.1371/journal.pone.0277175 · Cited by 221 · see citing works
Grant, J., Lust, K. A., Fridberg, D. J., King, A., & Chamberlain, S. (2019) · Annals of clinical psychiatry : official journal of the American Academy of Clinical Psychiatrists · doi:10.1177/104012371903100108 · Cited by 149 · see citing works
Development of ADHD: Etiology, Heterogeneity, and Early Life Course
Nigg, J. T., Sibley, M. H., Thapar, A., & Karalunas, S. L. (2020) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-060320-093413 · Cited by 184 · see citing works
Ruiz-Goikoetxea, M., Cortese, S., Aznarez-Sanado, M., Magallón, S., Alvarez Zallo, N., Luis, E. O., de Castro-Manglano, P., Soutullo, C., & Arrondo, G. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.007 · Cited by 175 · see citing works
“…et al., 2014; Christoffel et al., 1996; Constant et al., 2014; Dalsgaard et al., 2015a; Dudani et al., 2010; Fleming et al., 2017; Ghanizadeh, 2008; Guo et al., 2016; Hire, 2016; Hurtig et al., 2016; Jensen et al., 1988; Kang et al., 2013; Keyes et al., 2014; Lalloo et al., 2003; Lam et al., 2006;…”
Molina, B. S. G., Howard, A. L., Swanson, J. M., Stehli, A., Mitchell, J. T., Kennedy, T. M., Epstein, J. N., Arnold, L. E., Hechtman, L., Vitiello, B., et al. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12855 · Cited by 130 · see citing works
Dir, A. L., Bell, R. L., Adams, Z. W., & Hulvershorn, L. A. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00289 · Cited by 114 · see citing works
“The link between psychiatric disorders and substance use is also well established, and it is estimated that up to 60% of adolescents with substance use disorders also meet criteria for another psychiatric disorder (119).”
BackgroundAlcohol use disorders and ADHD.
Luderer, M., Ramos Quiroga, J. A., Faraone, S. V., Zhang-James, Y., & Reif, A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.07.010 · Cited by 102 · see citing works
Association of Youth Depression With Subsequent Somatic Diseases and Premature Death
Leone, M., Kuja‐Halkola, R., Levál, A., D'Onofrio, B. M., Larsson, H., Lichtenstein, P., & Bergen, S. E. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3786 · Cited by 91 · see citing works
Treur, J. L., Munafo, M. R., Logtenberg, E., Wiers, R. W. H. J., & Verweij, K. J. H. (2021) · Psychological Medicine · doi:10.1017/s003329172100180x · Cited by 94 · see citing works
“For alcohol, a review of 37 longitudinal studies found that (symptoms of) mental disorders in childhood predict an increased odds of alcohol dependence later on in life (Groenman, Janssen, & Oosterlaan, 2017).”
BackgroundZhou, J. L., Liu, Y., Ma, J., Feng, Z., Hu, J., Hu, J., & Dong, B. (2024) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-024-00841-w · Cited by 94 · see citing works
“In severe cases, social functioning may be lost, and antisocial behaviors such as self-harm, vandalism, or harm to others may occur, placing a significant burden on families and society [11].”
Cao, J., Truong, A. L., Banu, S., Shah, A. A., Sabharwal, A., & Moukaddam, N. (2019) · doi:10.2196/preprints.14045 · Cited by 81 · see citing works
“In a meta-analysis of studies encompassing more than 762,000 patients, the presence of a childhood or an adolescent mental health disorder significantly increased the odds of alcohol and substance use disorders later in life [16].”
BackgroundDyer, M. L., Easey, K., Heron, J., Hickman, M., & Munafo, M. R. (2019) · Addiction · doi:10.1111/add.14575 · Cited by 79 · see citing works
“Other evidence Overall, a clear association between anxiety and alcohol use was not evident, consistent with previous reviews [24,25].”
BackgroundResultNondisordered Cannabis Use Among US Adolescents
Sultan, R. S., Zhang, A. W., Olfson, M., Kwizera, M. H., & LEVIN, F. R. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.11294 · Cited by 74 · see citing works
Freitag, C. M., Konrad, K., Stadler, C., Brito, S. A. D., Popma, A., Herpertz, S. C., Herpertz‐Dahlmann, B., Neumann, I. D., Kieser, M., Chiocchetti, A. G., et al. (2018) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-018-1172-6 · Cited by 71 · see citing works
Socioeconomic status and alcohol use disorders across the lifespan: A co-relative control study
Calling, S., Ohlsson, H., Sundquist, J., Sundquist, K., & Kendler, K. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224127 · Cited by 70 · see citing works
“There are strong associations between AUD and psychiatric comorbidities, including a wide range of mental disorders such as anxiety, mood disorders, personality disorders and attention deficit hyperactivity disorder [31, 32].”
BackgroundIntegrating Treatment for Co-Occurring Mental Health Conditions
Yule, A. (2019) · Alcohol Research: Current Reviews · doi:10.35946/arcr.v40.1.07 · Cited by 63 · see citing works
Meque, I., Dachew, B. A., Maravilla, J. C., Salom, C., & Alati, R. (2019) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867419844308 · Cited by 64 · see citing works
“Our findings are consistent with those from a meta-analysis of prospective studies assessing the risk of mental health disorders with subsequent substance-related disorders (Groenman et al., 2017), where childhood attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder and depression…”
BackgroundResultCapusan, A. J., Gustafsson, P. A., Kuja‐Halkola, R., Igelström, K. M., Mayo, L. M., & Heilig, M. A. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01071-8 · Cited by 59 · see citing works
“34, 35 Placement outside the home was associated with increased risk for SUD but did not further increase risk in those maltreated.”
BackgroundPollard, J., Reardon, T. C., Williams, C., Creswell, C., Ford, T. J., Gray, A. M., Roberts, N. W., Stallard, P. N., Ukoumunne, O. C., & Violato, M. (2023) · JCPP Advances · doi:10.1002/jcv2.12149 · Cited by 63 · see citing works
Sartor, C. E., Hipwell, A. E., & Chung, T. A. (2020) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-020-01830-y · Cited by 56 · see citing works
Predictors of Alcohol Use Disorders Among Young Adults: A Systematic Review of Longitudinal Studies
Meque, I., Salom, C., Betts, K. S., & Alati, R. (2019) · Alcohol and Alcoholism · doi:10.1093/alcalc/agz020 · Cited by 54 · see citing works
Brancati, G. E., Perugi, G., Milone, A., Masi, G., & Sesso, G. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.06.033 · Cited by 57 · see citing works
Smith, T. E., Holmes, S. R., Romero, M. E., & Sheridan, S. M. (2022) · School Mental Health · doi:10.1007/s12310-022-09510-9 · Cited by 69 · see citing works
Ozgen, H., Spijkerman, R., Noack, M., Holtmann, M., Schellekens, A., van de Glind, G., Banaschewski, T., Barta, C., Begeman, A., Casas, M., et al. (2020) · European Addiction Research · doi:10.1159/000508385 · Cited by 45 · see citing works
Self-citationMorales, A. M., Jones, S. A., Kliamovich, D., Harman, G. A., & Nagel, B. J. (2019) · Current Addiction Reports · doi:10.1007/s40429-019-00282-y · Cited by 50 · see citing works
Wisting, L., Johnson, S. U., Bulik, C. M., Andreassen, O. A., Rø, Ø., & Bang, L. (2021) · BMC Psychiatry · doi:10.1186/s12888-020-03013-0 · Cited by 49 · see citing works
“as inflammatory bowel disease [3], diabetes [4], cardiovascular disease [5], and psoriasis [6], as well as psychiatric illness, including substance abuse [7], anxiety [8], and eat-”
BackgroundBrownlie, E. B., Beitchman, J. H., Chaim, G., Wolfe, D. A., Rush, B. R., & Henderson, J. L. (2018) · The Canadian Journal of Psychiatry · doi:10.1177/0706743718784935 · Cited by 49 · see citing works
“Associations between early adolescent SU and MH problems have been demonstrated but results have been mixed, showing, for example, SU associations with externalising and internalising problems, protective effects of internalising problems against specific types of SU, and interactions between specific internalising an…”
ResultChallenges of Treating ADHD with Comorbid Substance Use Disorder: Considerations for the Clinician
Barbuti, M., Maiello, M., Spera, V., Pallucchini, A., Brancati, G., Maremmani, A., Perugi, G., & Maremmani, I. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093096 · Cited by 47 · see citing works
Long, Y., Pan, N., Ji, S., Qin, K., Chen, Y., Zhang, X., He, M., Suo, X., Yu, Y., Wang, S., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02130-6 · Cited by 42 · see citing works
“5 times as likely as healthy individuals to develop SUDs [5], suggesting that early ADHD is a risk factor for SUDs [6].”
BackgroundThapar, A., Livingston, L. A., Eyre, O., & Riglin, L. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13678 · Cited by 42 · see citing works
Desrochers-Couture, M., Courtemanche, Y., Forget‐Dubois, N., Bélanger, R. E., Boucher, O., Ayotte, P., Cordier, S., Jacobson, J. L., Jacobson, S. W., & Muckle, G. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108679 · Cited by 40 · see citing works
Mierau, J. O., Kann, D., Hoekstra, P. J., Spiegelaar, L., Jansen, D. E. M. C., Vermeulen, K. M., Reijneveld, S. A., van den Hoofdakker, B. J., Buskens, E., Marle, M. E. V. D. A., et al. (2020) · BMC Pediatrics · doi:10.1186/s12887-020-02220-8 · Cited by 42 · see citing works
Self-citationRisk of poisoning in children and adolescents with ADHD: a systematic review and meta-analysis
Ruiz-Goikoetxea, M., Cortese, S., Magallón, S., Aznárez‐Sanado, M., Zallo, N. Á., Luís, E. O., de Castro‐Manglano, P., Soutullo, C. A., & Arrondo, G. (2018) · Scientific Reports · doi:10.1038/s41598-018-25893-9 · Cited by 37 · see citing works
Vilar‐Ribó, L., Sánchez‐Mora, C., Rovira, P., Vanesa Richarte, B., Montse Corrales, F., Fadeuilhe, C., Arribas, L., Casas, M., Ramos‐Quiroga, J. A., Ribasés, M., et al. (2020) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32827 · Cited by 38 · see citing works
“…epidemiological evidence showing increased risk and higher severity of substance use, abuse and dependence in ADHD subjects (Groenman et al., 2013; Groenman et al., 2017; van de Glind et al., 2014; van Emmerik-van Oortmerssen et al., 2012; Wilens & Morrison, 2012) and support previous reports…”
ResultCounty-level prevalence estimates of ADHD in children in the United States
Zgodic, A., McLain, A. C., Eberth, J. M., Federico, A., Bradshaw, J. L., & Flory, K. (2023) · Annals of Epidemiology · doi:10.1016/j.annepidem.2023.01.006 · Cited by 38 · see citing works
Ilbegi, S., Groenman, A. P., Schellekens, A., Hartman, C. A., Hoekstra, P. J., Franke, B., Faraone, S. V., Rommelse, N. N. J., & Buitelaar, J. K. (2018) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-018-9260-y · Cited by 36 · see citing works
Self-citationPrinciples of Care for Young Adults With Co-Occurring Psychiatric and Substance Use Disorders
Spencer, A. E., Valentine, S. E., Sikov, J., Yule, A. M., Hsu, H., Hallett, E., Xuan, Z., Silverstein, M., & Fortuna, L. (2021) · Pediatrics · doi:10.1542/peds.2020-023523f · Cited by 34 · see citing works
ADHD prevalence in the psychiatric population
Gerhand, S., & Saville, C. W. N. (2021) · International Journal of Psychiatry in Clinical Practice · doi:10.1080/13651501.2021.1914663 · Cited by 36 · see citing works
“Groenman et al. (2017) found in their meta-analysis that ADHD increased the risk of developing subsequent substance use disorders (OR 2.61, 95% CI 1.77–384).”
BackgroundInfluentialKantak, K. (2022) · Pharmacology, Biochemistry and Behavior · doi:10.1016/j.pbb.2022.173378 · Cited by 32 · see citing works
Herrera, C., DuBois, D. L., Heubach, J., & Grossman, J. B. (2023) · Children and Youth Services Review · doi:10.1016/j.childyouth.2022.106742 · Cited by 35 · see citing works
Qi, S., Bustillo, J., Turner, J. A., Jiang, R., Zhi, D., Fu, Z., Deramus, T. P., Vergara, V., Ma, X., Yang, X., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0834-6 · Cited by 32 · see citing works
Johnstad, P. G. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1268339 · Cited by 37 · see citing works
Karalunas, S. L., Antovich, D., Goh, P. K., Martel, M. M., Tipsord, J. M., Nousen, E. K., & Nigg, J. T. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000900 · Cited by 31 · see citing works
Stanhope, V., Manuel, J. I., Jessell, L., & Halliday, T. M. (2018) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2018.04.009 · Cited by 32 · see citing works
Bufferd, S. J., Levinson, C. A., Olino, T. M., Dougherty, L. R., Dyson, M. W., Carlson, G. A., & Klein, D. N. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104039 · Cited by 32 · see citing works
Virtanen, S., Kuja‐Halkola, R., Sidorchuk, A., de la Cruz, L. F., Rück, C., Lundström, S., Suvisaari, J., Larsson, H., Lichtenstein, P., Mataix‐Cols, D., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.14779 · Cited by 32 · see citing works
Depressive symptoms and loneliness among early adolescents: a psychometric network analysis approach
Grygiel, P., Dolata, R., Humenny, G., & Muszyński, M. A. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13876 · Cited by 30 · see citing works
Morello, F., Võikar, V., Parkkinen, P., Panhelainen, A. E., Rosenholm, M., Makkonen, A., Rantamäki, T., Piepponen, P. T., Aitta‐aho, T., & Partanen, J. M. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01033-8 · Cited by 24 · see citing works
Donato, A. N. A., Waclawovsky, A. J., Tonello, L., Firth, J., Smith, L., Stubbs, B., Schuch, F. B., & Boullosa, D. A. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.01.032 · Cited by 31 · see citing works
The Link Between Depressive Symptoms and Vaping Nicotine in U.S. Adolescents, 2017–2019
Gorfinkel, L., Hasin, D. S., Miech, R. A., & Keyes, K. M. (2021) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2021.07.003 · Cited by 29 · see citing works
Umbrella Review of the Global Prevalence of Conduct Disorder in Children and Adolescents
Ayano, G., Abraha, M., Tsegay, L., & Gizachew, Y. (2023) · Psychiatric Quarterly · doi:10.1007/s11126-023-10060-9 · Cited by 32 · see citing works
“…risk of a wide range of mental health issues in adulthood, such as anxiety disorders, bipolar disorders, schizophrenia, substance use, antisocial personality disorders, as well as crime, suicide, lower academic performance, unemployment, poor physical health, and psycho-social problems [4, 7–21].”
Mitchell, J. T., Howard, A. L., Belendiuk, K. A., Kennedy, T. M., Stehli, A., Swanson, J. M., Hechtman, L. T., Arnold, L. E., Hoza, B., Vitiello, B., et al. (2018) · Nicotine & Tobacco Research · doi:10.1093/ntr/nty045 · Cited by 29 · see citing works
Nigg, J. T., Karalunas, S. L., Mooney, M. A., Wilmot, B., Nikolas, M. A., Martel, M. M., Tipsord, J. M., Nousen, E. K., Schmitt, C. F., Ryabinin, P., et al. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101222 · Cited by 29 · see citing works
“Notably, ADHD confers a 50–300% increased risk for substance use disorders, depression, psychosis, and anxiety disorders (Groenman et al., 2017; Kessler et al., 2006; Lee et al., 2011) and magnifies the chances of poor outcomes in school, work, and health (Forte et al.”
BackgroundAttention-Deficit/Hyperactivity Disorder and Transitional Aged Youth
Wilens, T. E., Isenberg, B. M., Kaminski, T. A., Lyons, R. M., & Quintero, J. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0968-x · Cited by 27 · see citing works
Glasofer, A., & Dingley, C. (2021) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-021-01142-0 · Cited by 24 · see citing works
Özgen, H., Spijkerman, R., Noack, M., Holtmann, M., Schellekens, A., Dalsgaard, S., van den Brink, W., & Hendriks, V. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10173908 · Cited by 27 · see citing works
Howard, A. L., Kennedy, T. M., Mitchell, J. T., Sibley, M. H., Hinshaw, S. P., Arnold, L. E., Roy, A., Stehli, A., Swanson, J. M., & Molina, B. S. G. (2019) · Psychology of Addictive Behaviors · doi:10.1037/adb0000542 · Cited by 26 · see citing works
de Boer, N., Vermeulen, J. M., Lin, B. D., van Os, J., ten Have, M., de Graaf, R., van Dorsselaer, S., Bak, M., Rutten, B. P. F., Batalla, A., et al. (2021) · Psychological Medicine · doi:10.1017/s0033291721002968 · Cited by 26 · see citing works
Association of prenatal alcohol exposure with preadolescent alcohol sipping in the ABCD study®
Lees, B., Mewton, L. R., Stapinski, L. A., et al. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108187 · Cited by 25 · see citing works
Wilens, T. E., Woodward, D. W., Ko, J. D., Berger, A. F., Burke, C., & Yule, A. M. (2022) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2022.0016 · Cited by 26 · see citing works
“One of the most replicated and robust risk factors for developing SUD in young people is the presence of psychopathology (Abra-ham and Fava 1999; Kessler 2004; Wilens et al. 2011; Merikangas and McClair 2012; Groenman et al. 2017).”
InfluentialHoward, A. L., Kennedy, T. M., Macdonald, E. P., Mitchell, J. T., Sibley, M. H., Roy, A., Arnold, L. E., Epstein, J. N., Hinshaw, S. P., Hoza, B., et al. (2019) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-019-00573-y · Cited by 24 · see citing works
Approach to Evaluating and Managing Adult Attention-Deficit/Hyperactivity Disorder in Primary Care
Huang, H. Y., Huang, H., Spottswood, M., & Ghaemi, S. N. (2020) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000248 · Cited by 25 · see citing works
Cormier, E., Park, H., & Schluck, G. (2020) · Issues in Mental Health Nursing · doi:10.1080/01612840.2020.1719247 · Cited by 25 · see citing works
Ivanov, I., Bjork, J. M., Blair, J., & Newcorn, J. H. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104575 · Cited by 25 · see citing works
Lindsey, M. A., Romanelli, M., Ellis, M. L., Barker, E. D., Boxmeyer, C. L., & Lochman, J. E. (2019) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-019-00525-6 · Cited by 24 · see citing works
Horváth, Z., Király, O., Demetrovics, Z., Németh, Á., Várnai, D., & Urbán, R. (2021) · European Addiction Research · doi:10.1159/000517042 · Cited by 23 · see citing works
Synthetic Cathinones and Their Potential Interactions with Prescription Drugs
Contrucci, R. R., Brunt, T. M., Inan, F., Franssen, E. J. F., & Hondebrink, L. (2019) · Therapeutic Drug Monitoring · doi:10.1097/ftd.0000000000000682 · Cited by 22 · see citing works
Payen, A., Chen, M. J., Carter, T. G., Kilmer, R. P., & Bennett, J. M. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.738065 · Cited by 21 · see citing works
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Nürnberger, J. I., Wang, Y., Zang, Y., Lai, D., Wetherill, L. F., Edenberg, H. J., Alıev, F., Plawecki, M. H., Chorlian, D. B., Chan, G., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.10.007 · Cited by 19 · see citing works
de Matos, M. B., de Mola, C. L., Trettim, J. P., Jansen, K., da Silva, R. A., Souza, L. D. D. M., Ores, L. D. C., Molina, M. L., Coelho, F. T., Pinheiro, R. T., et al. (2018) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2017-2258 · Cited by 21 · see citing works
McCabe, C. J., Brumback, T., Brown, S. A., & Meruelo, A. D. (2023) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2022.109761 · Cited by 21 · see citing works
Kroll, D. S., Feldman, D. E., Wang, S.-Y., Zhang, R., Manza, P., Wiers, C. E., Volkow, N. D., & Wang, G. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117099 · Cited by 20 · see citing works
“These neural findings are highly congruent with the epidemiological literature: Externalizing disorders have been more consistently linked with SUD than internalizing disorders [44].”
BackgroundMethodResultInfluentialWahab, S. B., Baharom, M. A., Rahman, F. N. A., Wahab, K. A., Zulkifly, M. A., Azmi, A. D., & Ahmad, N. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100359 · Cited by 25 · see citing works
The Ups and Downs of Relating Nondrug Reward Activation to Substance Use Risk in Adolescents
Bjork, J. M. (2020) · Current Addiction Reports · doi:10.1007/s40429-020-00327-7 · Cited by 19 · see citing works
Schoenmacker, G., Groenman, A. P., Sokolova, E., Oosterlaan, J., Rommelse, N. N. J., Roeyers, H., Oades, R. D., Faraone, S. V., Franke, B., Heskes, T., et al. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.06.003 · Cited by 19 · see citing works
Self-citationDekkers, T. J., Groenman, A. P., Wessels, L. M., Kovshoff, H., Hoekstra, P. J., & van den Hoofdakker, B. J. (2021) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-021-01735-4 · Cited by 21 · see citing works
Self-citationBaweja, R. K., Faraone, S. V., Childress, A. C., Weiss, M. D., Loo, S. K., Wilens, T. E., & Waxmonsky, J. G. (2024) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2024.0022 · Cited by 17 · see citing works
“The association with alcohol-use disorders and nicotine-related disorders is similarly elevated, as con-fi rmed by a meta-analysis (Groenman et al., 2017).”
Chau, K., Mayet, A., Legleye, S., Beck, F., Hassler, C., Khlat, M., Choquet, M., Falissard, B., & Chau, N. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.112480 · Cited by 18 · see citing works
Tamminga, H. G. H., Reneman, L., Schrantee, A., Bottelier, M. A., Bouziane, C., Geurts, H. M., & Groenman, A. P. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.02.002 · Cited by 18 · see citing works
Self-citationGhirardi, L., Kuja‐Halkola, R., Pettersson, E., Sariaslan, A., Arseneault, L., Fazel, S., D'Onofrio, B. M., Lichtenstein, P., & Larsson, H. (2021) · Psychological Medicine · doi:10.1017/s0033291721003093 · Cited by 16 · see citing works
“In addition, childhood ADHD is recognized as a risk factor for subsequent SUD (Biederman et al., 1997; Groenman et al., 2017; Groenman et al., 2013; Yoshimasu et al., 2012).”
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Young-Adult Social Outcomes of Attention-Deficit/Hyperactivity Disorder
Riglin, L., Todd, A., Blakey, R., Shakeshaft, A., Stergiakouli, E., Smith, G. D., Tilling, K. M., & Thapar, A. (2023) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.22m14379 · Cited by 17 · see citing works
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ADHD, Religiosity, and Psychiatric Comorbidity in Adolescence and Adulthood
Dew, R. E., Kollins, S. H., & Koenig, H. G. (2020) · Journal of Attention Disorders · doi:10.1177/1087054720972803 · Cited by 16 · see citing works
“Factors mediating these costs include the heightened risk of poor mental health and substance use (Groenman et al., 2017).”
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A systematic review of substance use screening in outpatient behavioral health settings
Woodward, D. W., Wilens, T. E., Glantz, M. D., Rao, V., Burke, C. W., & Yule, A. M. (2023) · Addiction Science & Clinical Practice · doi:10.1186/s13722-023-00376-z · Cited by 15 · see citing works
Neurophysiological avenues to better conceptualizing adaptive cognition
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“Underscoring the explanatory power of this account, it cannot only organize the fi ndings regarding cognitive de fi cits associated with such descriptive diagnoses (e.g., perseverative errors in a rule inference task such as the Wisconsin Card Sorting Test – OCD, versus problems with sustained attention - ADHD) but can…”
BackgroundInfluentialDevelopment, Psychopathology, and Ethnicity II: Psychiatric Disorders Among Young Adults
Duarte, C. S., CANINO, G. J., Wall, M. M., Ramos-Olazagasti, M. A., Elkington, K. S., Bird, H., Choi, C. J., Adams, C., Klotz, J., Carliner, H., et al. (2020) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2020.02.014 · Cited by 15 · see citing works
Behavioral processes and risk for problem substance use in adolescents
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“Additionally, internalizing disorders such as major depression or subclinical increases in internalizing traits also increase risk for adolescent problem substance use (Groenman et al., 2017; Hussong, Jones, Stein, Baucom, & Boeding, 2011; Mason, Stevens, & Fleming, 2020), although there is somewhat mixed evidence whe…”
BackgroundIncident Substance Use Disorder Following Anxiety Disorder in Privately Insured Youth
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Sheidow, A. J., Zajac, K., Chapman, J. E., McCart, M. R., & Drazdowski, T. K. (2021) · Community Mental Health Journal · doi:10.1007/s10597-020-00735-z · Cited by 14 · see citing works
- Authors
- Groenman, A. P., Janssen, T. W. P., & Oosterlaan, J.
- Affiliations
- University Medical Center Groningen (NL)
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Groenman, Annabeth P.
- Venue
- Journal of the American Academy of Child & Adolescent Psychiatry
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 56
- Issue
- 7
- Pages
- 556-569
- ISSN
- 0890-8567 (ISSN-L)
- OpenAlex
- W2612899553
- Semantic Scholar
- 3a8ee19d263aef3e474cdacacaa9d7b81826402f
- Cited by
- 335
- References
- 70
- Citations by year
- 2026: 26 · 2025: 44 · 2024: 39 · 2023: 52 · 2022: 46 · 2021: 40 · 2020: 37 · 2019: 31 · 2018: 18 · 2017: 2
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (acceptedVersion, other-oa)
- VU Research Portal (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Vrije Universiteit Amsterdam
- Accare
- Universitair Medisch Centrum Groningen
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Keywords
- child psychopathology, substance use disorders, substance abuse risk, attention deficit hyperactivity disorder, oppositional defiant disorder, conduct disorder, anxiety disorders, depression, alcoholism, nicotine dependence, drug use disorders, comorbidities, addiction risk factors, psychosocial interventions, prevention programs, addiction treatment programs
- MeSH terms
- Adolescent, Adult, Anxiety Disorders, Child, Depressive Disorder, Humans, Attention Deficit and Disruptive Behavior Disorders, Substance-Related Disorders, Young Adult
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