This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow P3Rs: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when P3Rs are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Shrier, L. A.
Right arrow Articles by Knight, J. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Shrier, L. A.
Right arrow Articles by Knight, J. R.
Related Collections
Right arrow Neurology & Psychiatry
PEDIATRICS Vol. 111 No. 6 June 2003, pp. e699-e705


ELECTRONIC ARTICLE

Substance Use Problems and Associated Psychiatric Symptoms Among Adolescents in Primary Care

Lydia A. Shrier, MD, MPH*, Sion K. Harris, PhD{ddagger}, Martha Kurland, LICSW§ and John R. Knight, MD*,||

* Division of Adolescent/Young Adult Medicine
{ddagger} Clinical Research Programs Office
§ Department of Psychiatry
|| Division of General Pediatrics
Center for Adolescent Substance Abuse Research, Children’s Hospital, Harvard Medical School, Boston, Massachusetts


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Objective. Substance use disorders (SUDs) are associated with other mental disorders in adolescence, but it is unclear whether less severe substance use problems (SUPs) also increase risk. Because youths with SUPs are most likely to present first to their site of primary care, it is important to establish the presence and patterns of psychiatric comorbidity among adolescent primary care patients with subdiagnostic use of alcohol or other drugs. The objective of this study was to determine the association between level of substance use and psychiatric symptoms among adolescents in a primary care setting.

Methods. Patients who were aged 14 to 18 years and receiving routine care at a hospital-based adolescent clinic were eligible. Participants completed the Problem Oriented Screening Instrument for Teenagers Substance Use/Abuse scale, which is designed to detect social and legal problems associated with alcohol and other drugs, and the Adolescent Diagnostic Interview, which evaluates for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnoses of substance abuse/dependence and 8 types of psychiatric symptoms. We examined gender-specific associations of no/nonproblematic substance use (NSU), SUP, and SUD with psychiatric symptom presence (any symptoms within each type), score (symptom scores summed across all types), and number of types (number of different symptom types endorsed).

Results. Of 538 adolescents (68% female; mean ± standard deviation age: 16.6 ± 1.4 years), 66% were classified with NSU, 18% with SUP, and 16% with SUD, and 80% reported having at least 1 type of psychiatric symptom in the previous 12 months. Symptoms of anxiety were most common (60% of both boys and girls), followed by symptoms of depression among girls (51%) and symptoms of attention-deficit disorder (ADD) among boys (47%). Compared with those with NSU, youths with SUP and those with SUD were more likely to report symptom presence for several types of psychiatric symptoms. Girls with SUP or SUD had increased odds of reporting symptoms of mania, ADD, and conduct disorder; girls with SUD were at increased risk for symptoms of depression, eating disorders, and hallucinations or delusions. Boys with SUP had increased odds of ADD symptoms, whereas boys with SUD had increased odds of reporting hallucinations or delusions. Boys with SUP or SUD had increased odds of reporting symptoms of conduct disorder. Youths with SUP and SUD also had higher psychiatric symptom scores and reported a wider range of psychiatric symptom types (number of types) compared with youths with NSU.

Conclusions. Like those with SUD, adolescents with subdiagnostic SUP were at increased risk for experiencing a greater number of psychiatric symptoms and a wider range of psychiatric symptom types than youths with NSU. Specifically, adolescents with SUP are at increased risk for symptoms of mood (girls) and disruptive behavior disorders (girls and boys). These findings suggest the clinical importance of SUP and support the concept of a continuum between subthreshold and diagnostic substance use among adolescents in primary care. Identification of youths with SUP may allow for intervention before either the substance use or any associated psychiatric problems progress to more severe levels.

Key Words: substance use • substance abuse • substance use disorder • psychiatric symptoms • comorbidity • adolescent

Abbreviations: SUD, substance use disorder • ADHD, attention-deficit/hyperactivity disorder • SUP, substance use problem • DSM-PC, Diagnostic and Statistical Manual for Primary Care • POSIT, Problem Oriented Screening Instrument for Teenagers • ADI, Adolescent Diagnostic Interview • DSM-IV, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition • NSU, no/nonproblematic substance use • ADD, attention-deficit disorder


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Substance use disorders (SUDs) in adolescents have been correlated with other psychiatric diagnoses, including dysthymia and major depression, conduct disorder, attention-deficit/hyperactivity disorder (ADHD), eating disorders, and psychosis.113 However, less is known about the psychiatric comorbidity for adolescents with less severe but more prevalent substance use problems (SUPs).

In publishing the Diagnostic and Statistical Manual for Primary Care (DSM-PC) Child and Adolescent Version, the American Academy of Pediatrics has recognized the importance of subdiagnostic mental health problems in the primary care clinician’s office.14 The DSM-PC identifies "substance use problem" as a diagnostic category that is along the same developmental spectrum as yet distinct from SUD (ie, abuse or dependence). Common manifestations of SUP in adolescents include using a substance because of behavioral or emotional problems and having occasional impaired memory or motor dysfunction as a result of substance use.14

Researchers as well as clinicians have recognized that substance use exists along a continuum and that patterns of use below the diagnostic threshold for abuse/dependence may still be associated with substantial morbidity.2 In 1 large community-based study of adolescents, increasing levels of alcohol use—from abstention to experimentation, social drinking, problem drinking, and abuse/dependence—were associated with increasing lifetime occurrence of Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised diagnoses of depressive disorders and disruptive behavior disorders, as well as problematic use of tobacco and other drugs.2 Because youths with SUPs are most likely to present first to their site of primary care, it is important to establish the presence and patterns of psychiatric comorbidity among adolescent clinic outpatients with subdiagnostic use of alcohol or other drugs.

Gender differences have been described in the epidemiology of substance use15 and in psychiatric comorbidity.16 Epidemiologic studies in adults have found that although substance use is more common in men than in women,17 substance-abusing women experience higher rates of comorbidity.18 Boys and girls with problematic substance use (SUP or SUD) may also differ in psychiatric comorbidity, which has important implications for designing gender-appropriate approaches to treatment. Some studies have found higher rates of depression among adolescent girls with SUD,11,19 although others have reported no difference between the genders.2 Conduct and other disruptive behavior disorders have been more prevalent among adolescent boys with SUD in some studies5 but not others.2,19 Previous studies have examined gender differences for disorders that meet Diagnostic and Statistical Manual of Mental Disorders criteria2 and in adolescents in substance abuse treatment.5,20

The objective of this study was to examine the gender-specific associations between SUPs and SUDs and the quantity, quality, and variety of correlated psychiatric symptoms among patients of a general adolescent medicine practice. We hypothesized that SUPs, like SUDs, would be associated with significant psychiatric comorbidity and that gender differences would exist in the patterns of substance use and psychiatric comorbidity.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Participants
The study protocol and data management procedures have been previously described in detail.21 Patients who were 14 to 18 years of age and presented for routine care to an urban, hospital-based adolescent clinic between March 1999 and September 2000 were invited to participate in the study at the conclusion of the medical visit. Patients were excluded when their provider determined that they were in a medical or emotional crisis at the time of the visit or when they were unable to read and understand English. Participants were offered a $25 merchandise certificate as compensation for their time. After a research assistant explained the study and answered any questions, each participant provided informed assent. The institutional review board of the hospital approved the study and waived parental consent in accordance with federal regulations22 and the Society for Adolescent Medicine guidelines for adolescent health research.23

Participants completed an assessment battery that included the 17-item Substance Use/Abuse Scale from the Problem Oriented Screening Instrument for Teenagers (POSIT)24 and the structured Adolescent Diagnostic Interview (ADI) for substance use.25,26 The self-administered (paper and pencil) POSIT Substance Use/Abuse Scale is designed to detect social and legal problems associated with alcohol and other drugs. The reliability and validity of the POSIT has been tested in several studies of adolescents, including high school students,27 youths in outpatient27,28 and inpatient drug treatment,27 arrested youths,29 and youths attending a general adolescent clinic.30 The POSIT Substance Use/Abuse Scale differentiates heavy substance users from nonusers (ie, demonstrates good concurrent differential validity)27 and correlates with other measures of substance use.28 The internal consistency reliability of the Substance Use/Abuse Scale is generally very good to excellent, ranging from 0.77 to 0.93,27,30 and the 1-week test-retest reliability in 1 study of well adolescent clinic patients was 0.77.30 The POSIT Substance Use/Abuse Scale includes questions such as, "During the past month, have you driven a car while you were drunk or high?" and, "Do you miss out on activities because you spend too much money on drugs or alcohol?" A positive POSIT Substance Use/Abuse score is considered to be 1 or more "yes" answers (possible score range: 0–17).

The ADI generates Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) diagnoses of alcohol/drug abuse and dependence31 and has demonstrated sound psychometric properties (interrater agreements, test-retest reliability, concurrent validity, and criterion validity) in adolescents.26 The ADI is administered by a trained interviewer and takes 30 to 90 minutes to complete. The ADI was scored by a research assistant using the ADI manual instructions25 and by computer with an SPSS syntax algorithm developed by the author of the ADI. Two study investigators who were blinded to the study hypotheses reviewed the data and resolved by consensus any discrepancies in scoring of the ADI or assignment of a diagnosis. For the purposes of this study, substance use was classified as no/nonproblematic substance use (NSU; no alcohol/drug use in previous 12 months, or some use in previous 12 months and POSIT score = 0), SUP (POSIT score ≥1 but no ADI diagnosis of substance abuse or dependence), and SUD (ADI diagnosis of either alcohol or drug abuse or dependence).

The ADI also evaluates 3 to 5 psychiatric symptoms in the previous 12 months from each of the following domains: depression, mania, eating disorder, delusional thinking and hallucinations (combined for these analyses), attention-deficit disorder (ADD), anxiety, and conduct disorder. Psychiatric symptomatology was examined in 3 different ways. First, report of any symptom (psychiatric symptom presence) within each of the symptom types was noted. Second, a psychiatric symptom score was created to reflect the degree of psychiatric distress. The sum of reported symptoms within each symptom type was normalized (ie, converted to a z score) for each gender, then the normalized sums were summed across all symptom types. Thus, a higher psychiatric symptom score represented more reported symptoms. The actual values of the psychiatric symptom scores are derived from normalized data and thus have no clinical relevance as numbers. Therefore, for avoiding confusion, the results of statistical comparisons are reported but the scores themselves are not presented. Third, for quantifying the variety of different symptoms reported by an individual, a variable for the number of psychiatric symptom types was created by summing the number of different symptom types for which at least 1 symptom was reported.

Associations of category of substance use with psychiatric symptoms (presence, score, and number of types) were examined with {chi}2 and analysis of variance in SPSS. Multivariate logistic regression was used to determine the odds of reporting symptom presence within each psychiatric symptom type for adolescents with SUPs and SUDs, compared with those with NSU. Because the variables psychiatric symptom score and number of symptom types had skewed distributions, quartiles were used for categorical multivariate analyses. Proportional odds regression models estimated the odds of 1 quartile increase in psychiatric symptom score and number of types for SUPs and SUDs compared with NSU. Multivariate analyses were conducted separately by gender and included all covariates (age, race/ethnicity, family history of substance use) found to be significant at the .05 level on bivariate analyses. Effect modification of the association between substance use category and psychiatric symptom variables by the demographic variables was evaluated by testing the significance of interaction terms with the substance use variable.32 The presence of confounding by demographic variables was determined using the change in ß estimate method (ie, whether the estimate of the ß for the substance use variable and its standard error changed by at least 10% with inclusion of each demographic variable in the model).32


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Descriptive Analyses
The 538 adolescents were 68% female and of diverse race/ethnicity (Table 1). Girls in our sample were slightly older than were boys. Nearly one half of girls and boys reported a family history of substance use. Two thirds (66%) of the participants were classified with NSU, 18% with SUPs, and 16% with SUDs; there were no differences by gender in substance use classification.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Characteristics of Sample*

 
Sixty percent of adolescents reported the presence of at least 1 type of psychiatric symptom in the past 12 months; girls were more likely than boys were to report any psychiatric symptoms. Anxiety symptoms were most commonly reported, followed by symptoms of depression among girls and ADD among boys. Girls were more likely than boys were to report symptoms of depression and eating disorders. There were no differences between the genders in rates of reporting symptoms of mania, anxiety, delusions or hallucinations, ADD, or conduct disorder. Although girls and boys reported similar degrees of psychiatric distress (had similar psychiatric symptom scores), girls reported a greater number of psychiatric symptom types compared with boys.

Bivariate Analyses
Compared with girls with NSU, girls with SUDs were more likely to report experiencing symptoms of depression and eating disorders. Girls with SUPs as well as those with SUDs were more likely to report symptoms of mania, ADD, and conduct disorder (Table 2). Compared with boys with NSU, boys with SUPs were more likely to report experiencing symptoms of ADD. Increasing severity of substance use was associated with increasing likelihood of conduct disorder symptoms in boys. Boys with SUDs were much more likely than were boys with NSU to report hallucinations or delusions.


View this table:
[in this window]
[in a new window]
 
TABLE 2. Percentage of Girls and Boys Reporting Psychiatric Symptom Type, by Substance Use Category*

 
The psychiatric symptom score was higher for adolescents with SUPs and SUDs compared with those with NSU (P ≤ .0005 for both boys and girls). Both boys and girls using substances reported greater number of psychiatric symptom types compared with those with NSU (mean number of symptom types reported: 2.7 SUPs and 3.0 SUDs vs 1.7 NSU; P ≤ .0005).

Multivariate Analyses
Table 3 displays the adjusted odds ratios and 95% confidence intervals for adolescents with SUPs and those with SUDs reporting each type of psychiatric symptom, by gender. The models for girls controlled for age and family history of substance use, and the models for boys controlled for age. Girls with SUPs as well as girls with SUDs had increased odds of symptoms of mania, ADD, and conduct disorder. Girls with SUDs were at increased risk of symptoms of depression, eating disorders, and hallucinations or delusions. Boys with SUPs had increased odds of ADD symptoms, and boys with SUDs had increased odds of reporting hallucinations or delusions. Boys with either SUPs or SUDs had increased odds of symptoms of conduct disorder. Post hoc testing revealed that SUPs and SUDs did not significantly differ from each other in any of the models. None of the interaction terms between covariates and substance use category was significant. There was no evidence of confounding by the covariates in any of the models.


View this table:
[in this window]
[in a new window]
 
TABLE 3. Adjusted Odds Ratios (95% CI) for Psychiatric Symptom Type by Substance Use Category in Adolescent Girls and Boys

 
Adjusting for family history of substance abuse, SUPs and SUDs were associated with higher psychiatric symptom score and number of symptom types for both boys and girls (Table 4). For example, compared with those with NSU, adolescent girls with SUPs had 2.4 times the odds of being 1 quartile higher on psychiatric symptom score. SUPs and SUDs did not significantly differ from each other in any of the models. The interaction between family history of substance abuse and substance use category was not significant in any of the models. Family history of substance abuse did not seem to confound the observed associations.


View this table:
[in this window]
[in a new window]
 
TABLE 4. Proportional Odds (95% CI) of Increasing Quartile for Psychiatric Symptom Score and Number of Psychiatric Symptom Types by Substance Use Category for Adolescent Girls and Boys*{dagger}{ddagger}

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
This study showed that adolescents with SUPs, like those with SUDs, report a greater number and variety of symptoms of psychiatric distress compared with those with NSU. These findings support a continuity approach to substance use among adolescents in primary care and are consistent with studies of subclinical substance use in other populations. In a community sample of high school students, Rohde et al2 similarly found that the likelihood of DSM-IV psychiatric disorder increased with increasing level of problematic alcohol use.

As the DSM-PC suggests, primary care clinicians care for youths with psychological issues that do not meet criteria for a disorder but still warrant a response.14 Identification of youths with SUPs may allow for intervention before either the substance use or any associated psychiatric problems progress to more severe levels. Indeed, primary care providers are increasingly placed on the front lines of diagnosis and management of mental disorders. A study conducted in an urban general medicine practice found that clinically important substance use, anxiety, and depression were common and associated with substantial functional impairment.33 Limited research has been done to identify the prevalence of psychiatric problems among adolescents who attend sites of primary care,34 but school- and community-based surveys suggest that the rates are high.35,36 Health maintenance visits provide an important opportunity to screen for substance use and other psychiatric problems.

Both boys and girls with problematic substance use (SUP or SUD) had increased odds of reporting symptoms of disruptive behavior disorders. The association of SUD with ADHD and conduct disorder has been well described.68,37,38 One study of behaviorally disordered, substance-using adolescents found that symptoms of ADHD were common in adolescents with conduct disorder and were positively correlated with severity of substance dependence.7 Among incarcerated youths, the number of symptoms of conduct disorder was shown to increase with the level of substance abuse.8 Research suggests that conduct disorder may account in part for the association between ADHD and SUD.6

According to problem behavior theory, adolescents who engage in problem behaviors such as substance use may tend toward psychosocial unconventionality and thus may be more likely to experience alienation and impaired social functioning.39,40 Conduct disorder and its associated delinquent behaviors would also be a part of this deviant, norm-violating lifestyle. This theory is consistent with the developmental trajectory of antisocial behavior, which includes substance use as a component of the pattern of conduct problems.8 Furthermore, impaired social functioning may substantially worsen outcomes associated with psychiatric illness,41 including the development of SUDs.38,42

In our study, girls with SUDs reported internalizing as well as externalizing symptoms of emotional distress. This finding is consistent with a previous study of adolescents referred for substance abuse, in which girls engaged in externalizing behaviors as extensively as their male counterparts but were distinguished by higher levels of internalizing symptoms.16 Other studies have found gender differences in the associations between psychiatric distress and substance use.7,43 However, the predominance of depressive symptoms in substance-abusing girls has not always been seen. In 1 longitudinal study, depressive symptoms at 11 years of age was shown to predict substance use at 15 years of age for boys but not for girls.37 In another study, depression and disruptive behavior disorders were correlated with substance use and abuse in both male and female adolescents.4 Although anxiety symptoms were common in our study, we did not observe an association with substance use in girls, which has been previously reported.44,45

The gender differences in which and how psychiatric symptoms are associated with substance use suggest that causative and/or vulnerability factors for the comorbidities may be different for boys and girls. For example, substance-using girls have more comorbidity and more family dysfunction than boys,16 suggesting that they have more severe psychological disturbance. Parents of depressed, substance-using girls have reported that their daughters exhibited more psychosocial dysfunction, including more impaired relationships with their parents, than did parents of girls with depression alone, whereas no differences were seen in the reports by parents of depressed boys with and without substance use.46 Future research is needed to determine the temporal ordering of the development of psychosocial dysfunction, SUPs, and other psychiatric morbidity in girls and boys.

There are several limitations to this study. The participants were primarily middle adolescents recruited from a single adolescent clinic in an urban children’s hospital and were largely nonwhite. Our findings may not be generalizable to younger children or young adults or to adolescents seen in other settings. Because this was a convenience sample, selection bias may be present. Older adolescents and those with serious SUPs or other psychiatric problems may be less likely to seek routine health care,47 although youths with comorbid conditions may also be more likely to present for treatment of their symptoms48 (Berkson’s bias). Knowing the purpose of the study, clinic providers may have been more likely to refer patients with substantial substance use. Adolescent substance users may have been less likely to consent to participate in research, but there was no evidence of this sort of self-selection. Eighty percent of adolescents who were invited to participate consented to the study, and there were no differences between those who refused and those who agreed to participate with regard to age; gender; race/ethnicity; or provider impressions of alcohol use, drug use, or any substance use.21 Patients in emotional crisis were excluded from this study, which would bias the results toward the null hypothesis. Nonetheless and not surprising, across all substance use groups, the rates of psychiatric symptoms reported by our sample are substantially higher than the rates of psychiatric diagnoses reported in previous research.2 The data were collected by self-report, which is subject to both recall and social desirability bias. As such, we would expect participants to minimize their substance use, which would result in underestimation of the associations of interest. Finally, sample size prohibited the differentiation in the analyses between use of alcohol and use of other drugs.

It is important to note that causality cannot be inferred from this cross-sectional study. Individuals with psychiatric disorders may self-medicate their symptoms through the use of nonprescribed substances.49,50 Substance use may also worsen preexisting psychiatric symptoms51 or precede the development of psychiatric disorder.10,52,53 Finally, there may be genetic or environmental factors that predispose to both psychiatric disorders and substance use.49,54,55 Indeed, there are conflicting findings from longitudinal studies about the causal nature of the relationship between SUDs and other psychiatric disorders.4,13,37,56,57 Depending on the temporal and causal pathways, different treatments targeting the primary psychopathological process may be appropriate for patients with comorbidity.

This study of adolescents in primary care adds to the growing literature supporting the clinical relevance of subclinical substance use and other psychiatric problems. Whether SUP represents an earlier point on the continuum to SUD, serves as a marker for other psychological or social problems, or is associated with medical or psychiatric morbidity in its own right, its identification warrants additional evaluation and intervention. In particular, our findings suggest that primary care clinicians should screen adolescents with SUPs for the presence of a wide range of other psychiatric symptoms. Early intervention may prevent the development of more severe morbidity from substance use and correlated psychiatric disorders among at-risk adolescents.


    ACKNOWLEDGMENTS
 
This study was supported by grant R01 AA12165 from the National Institute on Alcohol Abuse and Alcoholism and the Substance Abuse and Mental Health Services Administration and grant 036126 from the Robert Wood Johnson Foundation. Other support provided by grant 5 K23 MH01845 from the National Institute of Mental Health (to Dr Shrier) and grants 6T71MC 00009-10 (to Drs Shrier and Harris) and 5T20MC000-11-06 (to Dr Knight) from the Maternal and Child Health Bureau.

The authors gratefully acknowledge Lon Sherritt, MPH, for assistance with data management; Alison Arneill, Betsy Gates, Erin Gates, Katherine O’Connor, and Sarah Rosenberg for data collection and entry; S. Jean Emans, MD, and Michael Rich, MD, MPH, for reviewing the manuscript; the staff of the Adolescent/Young Adult Medical Practice at Children’s Hospital Boston for facilitating recruitment; and the adolescents for sharing their experiences with us.


    FOOTNOTES
 
Received for publication Nov 5, 2002; Accepted Feb 19, 2003.

Reprint requests to (L.A.S.) Division of Adolescent/Young Adult Medicine, Children’s Hospital, 300 Longwood Ave, Boston, MA 02115. E-mail: lydia.shrier{at}tch.harvard.edu


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Boyle MH, Offord DR. Psychiatric disorder and substance use in adolescence. Can J Psychiatry.1991; 36 :699 –705[ISI][Medline]
  2. Rohde P, Lewinsohn PM, Seeley JR. Psychiatric comorbidity with problematic alcohol use in high school students. J Am Acad Child Adolesc Psychiatry.1996; 35 :101 –109[CrossRef][ISI][Medline]
  3. Zeitlin H. Psychiatric comorbidity with substance misuse in children and teenagers. Drug Alcohol Depend.1999; 55 :225 –234[CrossRef][ISI][Medline]
  4. Costello E, Erkanli A, Federman E, Angold A. Development of psychiatric comorbidity with substance abuse in adolescents: effects of timing and sex. J Clin Child Psychol.1999; 28 :298 –311[CrossRef][ISI][Medline]
  5. Hovens J, Cantwell D, Kiriakos R. Psychiatric comorbidity in hospitalized adolescent substance abusers. J Am Acad Child Adolesc Psychiatry.1994; 33 :476 –483[ISI][Medline]
  6. Milberger S, Biederman J, Faraone S, Wilens T, Chu M. Associations between ADHD and psychoactive substance use disorders. Findings from a longitudinal study of high-risk siblings of ADHD children. Am J Addict.1997; 6 :318 –329[ISI][Medline]
  7. Whitmore EA, Mikulich SK, Thompson LL, Riggs PD, Aarons GA, Crowley TJ. Influences on adolescent substance dependence: conduct disorder, depression, attention deficit hyperactivity disorder, and gender. Drug Alcohol Depend.1997; 47 :87 –97[CrossRef][ISI][Medline]
  8. Neighbors B, Kempton T, Forehand R. Co-occurrence of substance abuse with conduct, anxiety, and depression disorders in juvenile delinquents. Addict Behav.1992; 17 :379 –386[CrossRef][ISI][Medline]
  9. Rao U, Ryan ND, Dahl RE, et al. Factors associated with the development of substance use disorder in depressed adolescents. J Am Acad Child Adolesc Psychiatry.1999; 38 :1109 –1117[CrossRef][ISI][Medline]
  10. Rao U, Daley SE, Hammen C. Relationship between depression and substance use disorders in adolescent women during the transition to adulthood. J Am Acad Child Adolesc Psychiatry.2000; 39 :215 –222[CrossRef][ISI][Medline]
  11. Deykin EY, Buka SL, Zeena TH. Depressive illness among chemically dependent adolescents. Am J Psychiatry.1992; 149 :1341 –1347[Abstract/Free Full Text]
  12. Deykin EY, Levy JC, Wells V. Adolescent depression, alcohol and drug abuse. Am J Public Health.1987; 77 :178 –182[Abstract/Free Full Text]
  13. Biederman J, Wilens T, Mick E, et al. Is ADHD a risk factor for psychoactive substance use disorders? Findings from a four-year prospective follow-up study. J Am Acad Child Adolesc Psychiatry.1997; 36 :21 –29[CrossRef][ISI][Medline]
  14. Wolraich M, Felice M, Drotar D, eds. The Classification of Children and Adolescent Mental Diagnoses in Primary Care: Diagnostic and Statistical Manual for Primary Care (DSM-PC) Child and Adolescent Version. Elk Grove Village, IL: American Academy of Pediatrics; 1996
  15. Brady KT, Randall CL. Gender differences in substance use disorders. Psychiatr Clin North Am.1999; 22 :241 –252[CrossRef][ISI][Medline]
  16. Dakof G. Understanding gender differences in adolescent drug abuse: issues of comorbidity and family functioning. J Psychoactive Drugs.2000; 32 :25 –32[ISI][Medline]
  17. Grant B, Harford T, Dawson D, Chou P, Dufour M, Pickering R. Prevalence of DSM-IV alcohol abuse and dependence. Alcohol Health Res World.1994; 18 :243 –248
  18. Bucholz KK. Nosology and epidemiology of addictive disorders and their comorbidity. Psychiatr Clin North Am.1999; 22 :221 –240[CrossRef][ISI][Medline]
  19. Bukstein OG, Glancy LJ, Kaminer Y. Patterns of affective comorbidity in a clinical population of dually diagnosed adolescent substance abusers. J Am Acad Child Adolesc Psychiatry.1992; 31 :1041 –1045[ISI][Medline]
  20. Clark DB, Pollock N, Bukstein OG, Mezzich AC, Bromberger JT, Donovan JE. Gender and comorbid psychopathology in adolescents with alcohol dependence. J Am Acad Child Adolesc Psychiatry.1997; 36 :1195 –1203[CrossRef][ISI][Medline]
  21. Knight JR, Sherritt L, Shrier LA, Harris SK, Chang G. Validity of the CRAFFT substance abuse screening test among adolescent clinic patients. Arch Pediatr Adolesc Med.2002; 156 :607 –614[Abstract/Free Full Text]
  22. DHHS. Protection of Human Subjects (Title 45, Code of Federal Regulations, Part 46). US Department of Health and Human Services, National Institutes of Health, Office for Protection from Research Risks (on-line). Available at: grants.nih.gov/grants/oprr/humansubjects/45cfr46.htm. Accessed January 17, 2000
  23. Anonymous. Guidelines for adolescent health research. Society for Adolescent Medicine. J Adolesc Health.1995; 17 :264 –269[ISI][Medline]
  24. Rahdert E. The Adolescent Assessment/Referral System Manual. Washington, DC: US Department of Health and Human Services, Alcohol, Drug Abuse, and Mental Health Administrations; 1991 (DHHS Publication No [ADM] 91-1735)
  25. Winters K, Henly G. Adolescent Diagnostic Interview (ADI) Manual. Los Angeles, CA: Western Psychological Services; 1993
  26. Winters K, Stinchfield R, Fulkerson J, Henly G. Measuring alcohol and cannabis use disorders in an adolescent clinical sample. Psychol Addict Behav.1993; 7 :185 –196[CrossRef]
  27. Melchior L, Rahdert E, Huba G. Reliability and Validity Evidence for the Problem Oriented Screening Instruments for Teenagers (POSIT). Washington, DC: American Public Health Association; 1994
  28. McLaney M, Boca FD, Babor T. A validation study of the Problem Oriented Screening Instrument for Teenagers (POSIT). J Mental Health.1994; 3 :363 –376
  29. Dembo R, Schmeidler J, Brodern P, Sue CC, Manning D. Examination of the reliability of the Problem Oriented Screening Instrument for Teenagers (POSIT) among arrested youth entering a juvenile assessment center. Subst Use Misuse.1996; 31 :785 –824[ISI][Medline]
  30. Knight JR, Goodman E, Pulerwitz T, DuRant RH. Reliability of the Problem Oriented Screening Instrument for Teenagers (POSIT) in adolescent medical practice. J Adolesc Health.2001; 29 :125 –130[CrossRef][ISI][Medline]
  31. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1994
  32. Hosmer D, Lemeshow S. Applied Logistic Regression. New York, NY: John Wiley & Sons; 1989
  33. Olfson M, Shea S, Feder A, et al. Prevalence of anxiety, depression, and substance use disorders in an urban general medicine practice. Arch Fam Med.2000; 9 :876 –883[Abstract/Free Full Text]
  34. McQuaid JR, Stein MB, Laffaye C, McCahill ME. Depression in a primary care clinic: the prevalence and impact of an unrecognized disorder. J Affect Disord.1999; 55 :1 –10[CrossRef][ISI][Medline]
  35. Grunbaum JA, Kann L, Kinchen SA, et al. Youth risk behavior surveillance–United States, 2001. MMWR Morbid Mortal Wkly Rep.2002; 51(SS 4) :1 –62[Medline]
  36. Lewinsohn PM, Hops H, Roberts RE, Seeley JR, Andrews JA. Adolescent psychopathology: I. Prevalence and incidence of depression and other DSM-III-R disorders in high school students. J Abnorm Psychol.1993; 102 :133 –144[CrossRef][ISI][Medline]
  37. Henry B, Feehan M, McGee R, Stanton W, Moffitt TE, Silva P. The importance of conduct problems and depressive symptoms in predicting adolescent substance use. J Abnorm Child Psychol.1993; 21 :469 –480[CrossRef][ISI][Medline]
  38. Greene R, Biederman J, Faraone S, Sienna M, Garcia-Jetton J. Adolescent outcome of boys with attention-deficit/hyperactivity disorder and social disability: results from a 4-year longitudinal follow-up study. J Consult Clin Psychol.1997; 65 :758 –767[CrossRef][ISI][Medline]
  39. Jessor R, Jessor S. Problem Behavior and Psychosocial Development: A Longitudinal Study of Youth. New York, NY: Academic; 1977
  40. Jessor R. Risk behavior in adolescence: a psychosocial framework for understanding and action. J Adolesc Health.1991; 12 :597 –605[CrossRef][ISI][Medline]
  41. Greene R, Biederman J, Faraone S, Ouellette C, Penn C, Griffine S. Toward a new psychometric definition of social disability in children with attention-deficit hyperactivity disorder. J Am Acad Child Adolesc Psychiatry.1996; 35 :571 –578[CrossRef][ISI][Medline]
  42. Greene R, Biederman J, Faraone S, Wilens T, Mick E, Blier H. Further validation of social impairment as a predictor of substance use disorders: findings from a samples of siblings of boys with and without ADHD. J Clin Child Psychol.1999; 28 :349 –354[CrossRef][ISI][Medline]
  43. Coelho R, Rangel R, Ramos E, Martins A, Prata J, Barros H. Depression and the severity of substance abuse. Psychopathology.2000; 33 :103 –109[Medline]
  44. Lewinsohn PM, Rohde P, Seeley JR. Adolescent psychopathology: III. The clinical consequences of comorbidity. J Am Acad Child Adolesc Psychiatry.1995; 34 :510 –519[CrossRef][ISI][Medline]
  45. Lewinsohn PM, Seeley JR, Hibbard J, Rohde P, Sack WH. Cross-sectional and prospective relationships between physical morbidity and depression in older adolescents. J Am Acad Child Adolesc Psychiatry.1996; 35 :1120 –1129[CrossRef][ISI][Medline]
  46. King CA, Ghaziuddin N, McGovern L, Brand E, Hill E, Naylor M. Predictors of comorbid alcohol and substance abuse in depressed adolescents. J Am Acad Child Adolesc Psychiatry.1996; 35 :743 –751[CrossRef][ISI][Medline]
  47. Ford C, Bearman P, Moody J. Foregone health care among adolescents. JAMA.1999; 282 :2227 –2234[Abstract/Free Full Text]
  48. Bukstein O, Brent D, Kaminer Y. Comorbidity of substance abuse and other psychiatric disorders in adolescents. Am J Psychiatry.1989; 146 :1131 –1141[Abstract/Free Full Text]
  49. Mueser KT, Drake RE, Wallach MA. Dual diagnosis: a review of etiological theories. Addict Behav.1998; 23 :717 –734[CrossRef][ISI][Medline]
  50. Khantzian E. The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harv Rev Psychiatry.1997; 4 :231 –244[ISI][Medline]
  51. Treece C, Khantzian EJ. Psychodynamic factors in the development of drug dependence. Psychiatr Clin North Am.1986; 9 :399 –412[Medline]
  52. Rounsaville BJ, Anton SF, Carroll K, Budde D, Prusoff BA, Gawin F. Psychiatric diagnoses of treatment-seeking cocaine abusers. Arch Gen Psychiatry.1991; 48 :43 –51[Abstract]
  53. Castillo-Mezzich A, Tarter R, Giancola P, Lu S, Kirisci L, Parks S. Substance use and risky sexual behavior in female adolescents. Drug Alcohol Depend.1997; 44 :157 –166[CrossRef][ISI][Medline]
  54. Kelder SH, Murray NG, Orpinas P, et al. Depression and substance use in minority middle-school students. Am J Public Health.2001; 91 :761 –766[Abstract]
  55. Kendler KS, Neale MC, MacLean CJ, Heath AC, Eaves LJ, Kessler RC. Smoking and major depression. A causal analysis. Arch Gen Psychiatry.1993; 50 :36 –43[Abstract]
  56. Dixit A, Crum R. Prospective study of depression and the risk of heavy alcohol use in women. Am J Psychiatry.2000; 157 :751 –758[Abstract/Free Full Text]
  57. Boyle M, Offord D, Racine Y, Fleming J, Szatmari P, Links P. Predicting substance use in early adolescence based on parent and teacher assessments of childhood psychiatric disorder: results from the Ontario Child Health Study follow-up. J Child Psychol Psychiatry.1993; 34 :535 –544[ISI][Medline]

PEDIATRICS (ISSN 1098-4275). ©2003 by the American Academy of Pediatrics




This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow P3Rs: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when P3Rs are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Shrier, L. A.
Right arrow Articles by Knight, J. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Shrier, L. A.
Right arrow Articles by Knight, J. R.
Related Collections
Right arrow Neurology & Psychiatry