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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: J Clin Psychiatry. 2012 Nov;73(11):e1372–e1378. doi: 10.4088/JCP.12m07895

The Utility of Attention-Deficit/Hyperactivity Disorder Screening Instruments in Individuals Seeking Treatment for Substance Use Disorders

Elias Dakwar 1, Amy Mahony 1, Martina Pavlicova 1, Andrew Glass 1, Daniel Brooks 1, John J Mariani 1, John Grabowski 1, Frances Rudnick Levin 1
PMCID: PMC3627386  NIHMSID: NIHMS455145  PMID: 23218166

Abstract

Objective

Several screening tools for attention-deficit/hyperactivity disorder (ADHD) have been validated in non–substance-abusing populations, but limited data are available regarding their utility in adults with current substance use disorders. The aim of this study was to determine the sensitivity, specificity, and positive and negative predictive values of 3 commonly used ADHD screening instruments in cocaine-dependent individuals.

Method

Adults seeking treatment for cocaine dependence (N = 102) were administered 3 self-report instruments between May 2009 and April 2011: the Conners Adult ADHD Rating Scale (CAARS), the Wender Utah Rating Scale (WURS), and the Adult ADHD Self-Report Scale-Version 1.1 (ASRS-V1.1). They then met with master’s-level clinicians who administered the Conners Adult ADHD Diagnostic Interview for DSM-IV (CAADID). With the CAADID serving as the gold standard, the validity of the screening instruments was determined, both singly and in combination.

Results

Twenty-five (25%) of the 102 patients met DSM-IV criteria for ADHD or ADHD not otherwise specified (NOS) based on the CAADID. Kappa scores determining agreement between the screening tools and the CAADID (with ADHD NOS labeled as ADHD or labeled as not ADHD) ranged from 0.37 to 0.69. Sensitivity scores for the broadest range of ADHD cases were 80.0%, 87.5%, and 60.9% for the CAARS, WURS, and ASRS-V1.1, respectively. Positive predictive value was highest for the CAARS, at 74.1%, and negative predictive value was highest for the WURS, at 95.1%. The highest sensitivity (96.0%) was found with coadministration of the WURS and CAARS.

Conclusion

While all of the screening instruments were found to have adequate sensitivity and specificity, the CAARS outperformed the other instruments in regard to agreement with the CAADID and positive predictive values. However, the WURS, with the highest sensitivity in regard to the broadest range of ADHD cases, may be the single best instrument for preliminary screening purposes. Further, because the ASRS-V1.1 is the simplest and shortest instrument to administer, it may have advantages when a large number of patients need to be screened.


Attention-deficit/hyperactivity disorder (ADHD) is the most common childhood-onset neuropsychiatric disorder,1 with a prevalence in the US adult population of approximately 5%.2 It is associated with substantial morbidity, including high divorce rates, legal difficulties, and driving violations,35 as well as with high rates of psychiatric comorbidity.3,57 Of particular concern is the high prevalence of substance use disorders (SUDs) among adults with ADHD, estimated to be at least twice that of adults who do not have ADHD.2 Individuals with ADHD typically have a more severe SUD course8,9 and poorer treatment outcomes1012 than do those without ADHD.

Although ADHD is overrepresented in individuals seeking SUD treatment,13,14 ADHD frequently goes unrecognized,15 primarily because it is not integrated into routine diagnostic protocols.16 Screening individuals with SUD for ADHD may be an efficient way to address this problem. Three commonly used instruments are the Wender Utah Rating Scale (WURS),17 which screens for ADHD using the Utah criteria; the Conners Adult ADHD Rating Scale (CAARS), in the self-report short version18; and the Adult ADHD Self-Report Scale-Version 1.1 (ASRS-V1.1).19 Several studies have shown the WURS to be internally consistent and a reliable screen for ADHD in general and treatment populations.17,20 Similarly, the CAARS and ASRS-V1.1 have been used clinically to screen for adult ADHD4,2124 with good results. The ASRS-V1.1 has additionally been found to have good sensitivity (87.5%) in a small Spanish population of individuals engaged in SUD treatment25 and has been used to estimate prevalence in a residential SUD population.26 The Attention Deficit Scales for Adults (ADSA) has also been evaluated in SUD individuals and was found to have good sensitivity (0.71) and specificity (0.82) when a liberal cutoff was used (ie, a total score of 161).27

More information is needed, however, regarding the validity of these instruments in screening SUD individuals for ADHD. The ASRS-V1.1 has not been investigated as a screening instrument in SUD populations in the United States, nor have the WURS and CAARS. Given the unique challenges presented by those with SUD, including overlapping symptoms, diagnostic misattribution, and problems with recall,16,22,28 it is important to ascertain whether the validity of these instruments extends to the SUD population. The ADSA, in turn, is substantially longer, at 54 items, than are the above-mentioned instruments, potentially reducing its utility as a screening tool. Further, the sensitivity and specificity of the ADSA in SUD individuals were determined by reference to diagnoses made during a clinical interview, the reliability of which is unclear.27 Clinical interviews, as opposed to validated and standardized diagnostic interviews, may lead to inappropriate diagnosis given the possibility that substance-related symptoms might be incorrectly attributed to ADHD,22,28 or vice versa.

The purpose of this study was therefore to assess the clinical utility of 3 commonly administered instruments—the WURS, the CAARS, and the ASRS-V1.1—in a population of outpatient individuals seeking treatment for cocaine dependence. The Conners Adult ADHD Diagnostic Interview for DSM-IV (CAADID), a semistructured interview validated in clinical and research settings,29 served as the gold standard by which the validity of the instruments was tested. We predicted that all 3 instruments would have adequate sensitivity, specificity, and positive and negative predictive values.

METHOD

Participants

The study was approved by the Institutional Review Board of the New York State Psychiatric Institute, and data were collected between May 2009 and April 2011. Participants for this study consisted of 102 individuals seeking out-patient treatment for cocaine dependence recruited through advertisements for treatment research studies at Columbia University/New York State Psychiatric Institute (NYSPI). Several studies concurrently recruited for cocaine-dependent patients at our research program; one targeted patients with ADHD and another focused on patients with major depressive disorder, and other studies enrolled cocaine-dependent individuals without these comorbidities. After providing informed consent, subjects were administered screening instruments followed by structured diagnostic interviews.

Structured Diagnostic Interviews

After completing screening instruments, participants were interviewed using the Structured Clinical Interview for DSM-IV (SCID-IV-TR)30 and the CAADID.29 The SCID-IV-TR is a well-established structured clinical interview that is often used in clinical treatment trials to test for a wide range of DSM-IV diagnoses. While it has numerous modules covering major diagnostic categories (eg, psychosis, affective illness, anxiety disorders, SUDs), it does not contain an ADHD module that has been validated to diagnose adult ADHD. Therefore, a widely used and validated semistructured interview, the CAADID, was also administered to all cocaine-dependent patients. The CAADID provides examples of adult symptoms to facilitate the interview and assesses age at onset, pervasiveness, and impairment in a structured manner. The CAADID also ascertains ADHD type: combined type, inattentive type, or hyperactive-impulsive type. Cases that approximated, but did not fully meet, DSM-IV ADHD criteria (eg, symptom onset in childhood, but not before 7 years of age; at least 4 symptoms, but fewer than 6) were labeled as ADHD not otherwise specified (NOS).

All diagnoses were determined by clinicians who had either a PhD or an MA degree in clinical psychology. Although clinicians had access to all screening information, they did not rely on this information in lieu of appropriately administering the CAADID. To assess fidelity, each interviewer completed written assessments that were used in supervision with a senior licensed clinical psychologist (A.M.). Further, all clinicians who carried out the diagnostic assessment for ADHD were part of a research team trained and overseen by the senior investigator (F.R.L.), who has extensive experience in diagnosing and treating individuals with ADHD. If there were questions regarding a diagnostic assessment, they were resolved at a team meeting in which the senior investigator and other psychiatrists experienced in diagnosing ADHD were present. If questions remained, these experienced psychiatrists would meet with the patient to reach a final decision. Moreover, all patients were administered the SCID-IV-TR to ensure that apparent ADHD symptoms were not better explained by another disorder. At least 10% of the SCID-IV-TR sessions and all of the CAADID interviews were audiotaped and rated by a senior clinician (A.M.) to determine interrater reliability and ensure that there was minimal diagnostic drift.

ADHD Screening Instruments

Wender Utah Rating Scale

The WURS17 is a retrospective self-report instrument for adults originally consisting of 61 questions but shortened to 25 questions by its developers (Ward et al) to be administered more easily for screening purposes. Each item is rated 0 (not at all) to 4 (very much). It focuses on childhood symptoms of ADHD between ages 8 and 10 years using the Utah criteria for ADHD (inattention, hyperactivity, and impulsivity together with emotional dysregulation and conduct problems). A total score of ≥ 36 indicates possible ADHD.

Conners Adult ADHD Rating Scale

The CAARS18 incorporates the 18 items of the ADHD diagnostic criteria to screen for ADHD. It is available in various versions; the self-report scale, in the short version, was used here. Each item is rated on a scale of 0 (not at all) to 3 (severe). For the short version of the CAARS, a score ≥ 23 indicates possible adult ADHD.

Adult ADHD Self-Report Scale-Version 1.1

The shortest screen, the ASRS-V1.1, is an official instrument of the World Health Organization and has been used in large epidemiologic studies to identify possible adult ADHD.19 It consists of 6 items, each of which can be scaled from 0 to 4, and if an individual endorses 4 out of 6 items with adequate severity, then he or she screens positive for ADHD.

Data Analysis

WURS, CAARS, and ASRS-V1.1 scores were dichotomized into “ADHD” or “no ADHD” depending on whether they exceeded the diagnostic cutoff for each measure. Similarly, CAADID assessments were dichotomized into “ADHD” or “no ADHD” based on the categorization of response indicators, with the combined, inattentive, and hyperactive categories subsumed into the “ADHD” group and with no diagnosis and ADHD NOS (for the first analysis) categorized as “no ADHD.” Using the CAADID-derived diagnosis as the reference, sensitivity (percentage of “true positives”), specificity (percentage of “true negatives”), positive predictive value (percentage of participants diagnosed with ADHD screened as positive), and negative predictive value (percentage of participants not diagnosed with ADHD screened as negative) were computed for the screening tools singly and in combination, arranged as column and row percentages of 2 × 2 frequency tables, and plotted to demonstrate the differences among the screening tools and their combinations. The same computations, tables, and plots were then carried out with ADHD NOS labeled as ADHD. Cohen κ was computed to determine the agreement between each of the screening tools and the CAADID. Kappa was also computed to determine the interrater reliability of the CAADID.

RESULTS

Participants

From May 2009 through April 2011, 102 participants reporting that cocaine was the primary drug of abuse signed a screening consent form and began the screening process to determine their eligibility for various outpatient treatment studies. During 1 to 2 outpatient visits, participants completed both the screening instruments for ADHD and the structured interviews (SCID-IV-TR and CAADID). Of these 102 participants meeting DSM-IV-TR criteria for cocaine dependence, 25 (25%) were found to have ADHD (15%) or ADHD NOS (10%) by the CAADID. Table 1 summarizes the sociodemographic information of the sample, as well as morbidity characteristics and baseline levels of cocaine use.

Table 1.

Sociodemographic Information and Baseline Amount of Cocaine Use in 102 Adults Seeking Treatment for Cocaine Dependence

Characteristic Value
Female, % 17.0
Ethnicity, %
 Black 33.7
 Hispanic 39.0
 White 27.4
Education duration, %
 < 12 y 14.4
 12 y 31.1
 > 12 y 54.2
Marital status, %
 Married 26.9
 Single 50.5
 Divorced or separated 22.5
Employment status, %
 Employed, full or part time 51.1
 Unemployed 48.9
Amount spent on cocaine per week, mean (SD), $ 311 (298)
Days of use per week, past 30 days, mean (SD) 4 (2)
ADHD and ADHD NOS, % 24.5
 Inattentive type 2.9
 Hyperactive-impulsive type 2.0
 Combined type 9.8
Any anxiety disorder, %a 19.6
Any affective disorder, %a 23.5
Other active substance use disorder, % 8.8
a

Excluding substance-induced cases.

Abbreviations: ADHD = attention-deficit/hyperactivity disorder, NOS = not otherwise specified.

Validity of Screening Instruments (with ADHD NOS labeled as not ADHD)

For each screening test, the sensitivity, specificity, positive predictive value, and negative predictive value were determined and plotted (Figure 1). In this analysis, ADHD NOS was labeled as not ADHD. Agreement with the CAADID was assessed for each instrument; κ scores closer to 1 indicate greater agreement. Table 2 summarizes the validity characteristics of the screening instruments in various combinations. Although all instruments had comparable characteristics, the CAARS outperformed the others in regard to all characteristics, including sensitivity. The most sensitive conjunctions (100%) arose when the CAARS was administered along with both of the other instruments, with a suggestive score on any single scale indicating the diagnosis; when the WURS was administered with the ASRS-V1.1; and when the WURS was administered with the CAARS. Interrater reliability for the CAADID was excellent, with κ = 0.96.

Figure 1. Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, and κ of Each Self-Reporting Screening Test Versus CAADID (ADHD NOS labeled as not ADHD).

Figure 1

Abbreviations: ADHD = attention-deficit/hyperactivity disorder, ASRS-V1.1 = Adult ADHD Self-Report Scale-Version 1.1, CAADID = Conners Adult ADHD Diagnostic Interview for DSM-IV, CAARS = Conners Adult ADHD Rating Scale, NOS = not otherwise specified, WURS = Wender Utah Rating Scale.

Table 2.

Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, and κ of Conjunctions of Self-Report Screening Tests Versus CAADID (with ADHD NOS labeled as not ADHD)

Tests Coadministereda Sensitivity (%) Specificity (%) Positive Predictive Value (%) Negative Predictive Value (%) κ
WURS and CAARS 86.67 90.36 61.90 97.40 0.6618
WURS and ASRS-V1.1 57.14 90.91 53.33 92.11 0.4669
CAARS and ASRS-V1.1 66.67 92.00 62.50 93.24 0.5714
WURS and CAARS and ASRS-V1.1 50.00 96.04 66.67 92.38 0.5145
WURS or CAARS 100.00 65.12 34.78 100.00 0.3693
WURS or ASRS-V1.1 100.00 61.63 32.65 100.00 0.335
CAARS or ASRS-V1.1 93.75 76.47 42.86 98.48 0.4738
WURS or CAARS or ASRS-V1.1 100.00 59.30 31.37 100.00 0.3137
CAADID interrater reliability 0.9628
a

In this column, or indicates that a suggestive score on any single scale determined the diagnosis; and indicates that suggestive scores on both or all 3 of the scales were required to determine the diagnosis.

Abbreviations: ADHD = attention-deficit/hyperactivity disorder, ASRS-V1.1 = Adult ADHD Self-Report Scale-Version 1.1, CAADID = Conners Adult ADHD Diagnostic Interview for DSM-IV, CAARS = Conners Adult ADHD Rating Scale, NOS = not otherwise specified, WURS = Wender Utah Rating Scale.

Validity of Screening Instruments (with ADHD NOS labeled as ADHD)

Analyses were repeated with the group diagnosed as having ADHD NOS by CAADID labeled as ADHD. Sensitivity, specificity, positive predictive value, negative predictive value, and agreement with the CAADID were determined and plotted independently for each screening instrument (Figure 2) and in various combinations (Table 3). The CAARS emerged with the highest κ scores and positive predictive value, but the WURS outperformed the other instruments in regard to sensitivity (87.5%). The most sensitive conjunctions arose (96.0%) when all instruments were administered together, with a suggestive score on any single scale indicating the diagnosis, and when the WURS was administered alongside the CAARS. Interrater reliability for the CAADID was excellent with κ = 0.98.

Figure 2. Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, and κ of Each Self-Report Screening Test Versus CAADID (ADHD NOS labeled as ADHD).

Figure 2

Abbreviations: ADHD = attention-deficit/hyperactivity disorder, ASRS-V1.1 = Adult ADHD Self-Report Scale-Version 1.1, CAADID = Conners Adult ADHD Diagnostic Interview for DSM-IV, CAARS = Conners Adult ADHD Rating Scale, NOS = not otherwise specified, WURS = Wender Utah Rating Scale.

Table 3.

Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, and κ of Conjunctions of Self-Report Screening Tests Versus CAADID (with ADHD NOS labeled as ADHD)

Tests Coadministereda Sensitivity (%) Specificity (%) Positive Predictive Value (%) Negative Predictive Value (%) κ
WURS and CAARS 70.83 94.59 80.95 90.91 0.6831
WURS and ASRS-V1.1 54.55 95.65 80.00 86.84 0.5630
CAARS and ASRS-V1.1 56.52 95.52 81.25 86.49 0.5782
WURS and CAARS and ASRS-V1.1 50.00 98.51 91.67 85.71 0.5725
WURS or CAARS 96.00 71.43 52.17 98.21 0.5217
WURS or ASRS-V1.1 92.00 66.23 46.94 96.23 0.4398
CAARS or ASRS-V1.1 84.00 81.58 60.00 93.94 0.5782
WURS or CAARS or ASRS-V1.1 96.00 64.94 47.06 98.04 0.4510
CAADID interrater reliability 0.9756
a

In this column, or indicates that a suggestive score on any single scale determined the diagnosis; and indicates that suggestive scores on both or all 3 of the scales were required to determine the diagnosis.

Abbreviations: ADHD = attention-deficit/hyperactivity disorder, ASRS-V1.1 = Adult ADHD Self-Report Scale-Version 1.1, CAADID = Conners Adult ADHD Diagnostic Interview for DSM-IV, CAARS = Conners Adult ADHD Rating Scale, NOS = not otherwise specified, WURS = Wender Utah Rating Scale.

DISCUSSION

Although all screening instruments performed adequately, the CAARS outperformed the others in regard to most characteristics, including level of agreement with the CAADID, both when ADHD NOS was labeled as ADHD and when it was not. The sensitivity of the instruments was substantially strengthened when they were administered together, while the WURS demonstrated the highest sensitivity on its own for the broadest range of ADHD cases. Because high sensitivity is the most important feature of a preliminary screen, a case can be made to include the WURS in the first clinical or research encounter with SUD individuals. However, the ASRS-V1.1 is the easiest tool to administer and exhibited adequate sensitivity; it may therefore be preferred when a large number of individuals need to be screened quickly.

Before discussing these points further, it is worthwhile to consider various aspects of adult ADHD that uniquely affect the diagnostic process. ADHD is thought to persist into adulthood in about 65% of cases,31 and the disorder is most likely to first come to clinical attention in late adolescence or early adulthood, more than a decade after it emerged.32 The accurate recall of disorder onset—a crucial diagnostic criterion—might consequently be compromised. Further, ADHD is highly comorbid with other psychiatric conditions, including anxiety, affective, and personality disorders, with more than 90% of ADHD cases diagnosed with at least 1 other psychiatric condition.33 This presents the challenge of correctly attributing symptomatology to ADHD when other comorbid disorders may or may not better account for the impairment.

The acute and chronic effects of substances in actively using individuals constitute a related challenge. It may be difficult to delineate between substance-related phenomena and ADHD symptoms given the substantial overlap in clinical phenomena (eg, restlessness, emotional dysregulation, impulsivity) and because of problems with obtaining an accurate chronology of symptoms.16,22,28 Individuals with ADHD also have a more severe SUD course than do those without the disorder.8,9 For these reasons of inaccurate recall, incorrect diagnostic attribution, and increased morbidity and comorbidity, ADHD in adults with SUDs may be a difficult diagnosis to appropriately determine. A standardized set of semistructured diagnostic interviews validated for a range of diagnoses and overseen by experienced clinicians, as used here, is therefore optimal for diagnosing persistent ADHD in individuals with SUDs, although difficult to implement routinely in clinical practice.

A short, easily administered screening instrument may therefore be helpful in the preliminary diagnostic process. ADHD has been widely reported to be overrepresented in individuals seeking SUD treatment, with rates ranging from 10%–25%,13,14,22,34 consistent with the rate of ADHD in our sample (25% with ADHD NOS labeled as ADHD, and 14% when it was not). Although an argument can be made for rigorously evaluating all individuals with SUDs for ADHD16,28 given such high rates of co-occurrence, a more effective use of resources, particularly in clinical settings, would be to administer a reliable screening instrument followed by a standardized diagnostic interview for all probable cases.

Every instrument tested in this study demonstrated adequate sensitivity, specificity, and positive and negative predictive values, with the CAARS outperforming the rest overall, particularly when ADHD NOS was labeled as not ADHD, and exhibiting the greatest degree of agreement with the CAADID. Of the 3 instruments, the CAARS adheres to DSM-IV criteria in the most comprehensive manner, thus explaining its superior agreement with the CAADID. The ASRS-V1.1, also predicated on the DSM-IV, is much shorter at only 6 items, while the WURS draws on the Utah conceptualization of ADHD.

The sensitivity and specificity of all instruments changed when ADHD NOS was labeled as ADHD; most notably, the sensitivity of the CAARS dropped below that of the WURS. Importantly, individuals were designated as having ADHD NOS because they did not meet the very diagnostic criteria that are being most dramatically revised by the DSM-5 ADHD and Disruptive Behavior Disorders Work Group.35 Of ADHD NOS cases, 45% (n = 5) were designated as such because they had an age at onset greater than 7 years but less than 12 years; the other cases (n = 6) had fewer than 6 but more than 4 symptoms. Given recent research regarding persistent ADHD, the proposed changes to ADHD in the DSM-5 include changing the age at symptom onset to before 12 years old and decreasing the required number of symptoms to more than 4 in older adolescents and adults.31,3638 The analysis incorporating ADHD NOS into the diagnosis is therefore more congruent with changing definitions of ADHD than is the analysis excluding it.

The purpose of the screening instrument is to provide guidance regarding who should subsequently receive a diagnostic interview, a procedure necessary for properly diagnosing ADHD. The most important aims of the instrument are thus to detect ADHD in the maximum number of affected individuals and to miss the disorder in a minimum number. As such, sensitivity is the most important factor to consider in evaluating clinical utility in this setting.39 In the analysis including ADHD NOS, the sensitivity of the instruments ranged from 60.9% to 87.5%, with the WURS demonstrating superior performance. It may be that the same feature of the WURS—its grounding in a non– DSM-IV–based conceptualization of ADHD—that compromised its agreement with the CAADID could also explain its superiority in capturing cases of ADHD more consistent with proposed DSM-5 criteria.

The WURS, however, is lengthy, at 25 items, and clinicians or researchers may decide that a shorter instrument, such as the 6-item ASRS-V1.1, even though demonstrating lower, marginally adequate sensitivity (60.9%), represents a better tool when quickly screening a large number of individuals. The ASRS-V1.1 was found to have high sensitivity (87.5%) in a previous study with Spanish substance users that also used the CAADID-derived diagnosis as reference,25 a value substantially higher than the sensitivity determined in a general population (68.7%) for reasons that are unclear.24 It is important to note, however, that our analysis indicates that the ASRS-V1.1 may miss 39.1% of individuals with ADHD, a substantial shortcoming that might not be justified by its short length and ease of administration. The WURS, by contrast, missed 12.5% of cases, and the CAARS missed 20%. Further, sensitivity improved significantly (96%) when the WURS was administered along with the CAARS, with a suggestive score on either scale indicating the diagnosis.

These findings should be interpreted in the context of several limitations. First, the study population was composed entirely of cocaine-dependent individuals; these results may therefore not be representative of individuals seeking treatment for nonstimulant substances such as cannabis or opioids. Future studies can aim to clarify the performance of these instruments in a wider range of substance users. Second, because the instruments were administered to all screening participants in the same order, one cannot exclude an order effect. Third, it is not possible to determine the extent to which psychiatric comorbidity, ADHD severity or subtype, and amount of cocaine use affect the validity of the instruments. A larger sample size may have allowed for making comparisons between subgroups. Finally, psychiatric diagnoses were based entirely on self-report from participants, and collateral information, academic/work records, and medical records were not available. Although the CAADID has been validated, previous research indicates that failing to obtain these other sources of history leads to lower sensitivity.2,40

Despite these limitations, this analysis of a well- characterized outpatient sample demonstrates that the WURS, ASRS-V1.1, and CAARS may be reliably administered as screening instruments to individuals seeking SUD treatment. The superior sensitivity of the WURS for the broadest range of ADHD cases indicates that it may be the single best instrument to determine who should proceed to a diagnostic interview for ADHD. As the shortest instrument, the ASRS-V1.1 has certain advantages, but it exhibited the lowest, albeit marginally adequate, sensitivity in all analyses. Clinicians treating substance users can therefore be confident that incorporating any or all of these instruments into the preliminary diagnostic process will increase their capacity to detect ADHD and, with proper interview-guided diagnosis and ADHD management, improve quality of life in affected individuals, including the course of their SUD treatment.

Clinical Points.

  • Attention-deficit/hyperactivity disorder (ADHD) is common in individuals with substance use disorders (SUDs), but it is often overlooked.

  • The Wender Utah Rating Scale, Conners Adult ADHD Rating Scale, and Adult ADHD Self-Report Scale-Version 1.1 may serve as reliable screening instruments in cocaine-dependent individuals, with the Wender Utah Rating Scale exhibiting the highest sensitivity for the broadest range of ADHD cases.

  • By incorporating any or all these instruments into the first patient encounter, clinicians will increase their capacity to detect which individuals with SUDs should be further evaluated for ADHD and potentially improve their ability to provide comprehensive, diagnosis-driven treatment.

Acknowledgments

Funding/support: This study was supported by National Institute on Drug Abuse grants DA031771 (to Dr Dakwar), DA007294 and DA029647 (to Dr Levin), and DA023651 (to Dr Grabowski) and by the New York State Psychiatric Institute (Drs Dakwar, Mariani, and Levin).

Footnotes

Author contributions: All authors listed have contributed to the writing, analysis, editing, and/or proofreading of the manuscript. Dr Dakwar had full access to the data and assumes full responsibility for the integrity of the analysis.

Potential conflicts of interest: Dr Levin is a consultant to GW Pharmaceuticals and has received medication from US World Meds for a National Institutes of Health–funded study. Drs Dakwar, Pavlicova, Mariani, and Grabowski; Ms Mahony; and Messrs Glass and Brooks report no potential conflict of interest.

References

  • 1.Centers for Disease Control and Prevention (CDC) Increasing prevalence of parent-reported attention-deficit/hyperactivity disorder among children—United States, 2003 and 2007. MMWR Morb Mortal Wkly Rep. 2010;59(44):1439–1443. [PubMed] [Google Scholar]
  • 2.Kessler RC, Adler L, Barkley R, et al. The prevalence and correlates of adult ADHD in the United States: results from the National Comorbidity Survey Replication. Am J Psychiatry. 2006;163(4):716–723. doi: 10.1176/appi.ajp.163.4.716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Mannuzza S, Klein RG, Bessler A, et al. Adult outcome of hyperactive boys: educational achievement, occupational rank, and psychiatric status. Arch Gen Psychiatry. 1993;50(7):565–576. doi: 10.1001/archpsyc.1993.01820190067007. [DOI] [PubMed] [Google Scholar]
  • 4.Kessler RC, Lane M, Stang PE, et al. The prevalence and workplace costs of adult attention deficit hyperactivity disorder in a large manufacturing firm. Psychol Med. 2009;(1):137–147. doi: 10.1017/S0033291708003309. [DOI] [PubMed] [Google Scholar]
  • 5.Able SL, Johnston JA, Adler LA, et al. Functional and psychosocial impairment in adults with undiagnosed ADHD. Psychol Med. 2007;37(1):97–107. doi: 10.1017/S0033291706008713. [DOI] [PubMed] [Google Scholar]
  • 6.Faraone SV, Biederman J, Spencer T, et al. Attention-deficit/hyperactivity disorder in adults: an overview. Biol Psychiatry. 2000;48(1):9–20. doi: 10.1016/s0006-3223(00)00889-1. [DOI] [PubMed] [Google Scholar]
  • 7.Biederman J, Newcorn J, Sprich S. Comorbidity of attention deficit hyperactivity disorder with conduct, depressive, anxiety, and other disorders. Am J Psychiatry. 1991;148(5):564–577. doi: 10.1176/ajp.148.5.564. [DOI] [PubMed] [Google Scholar]
  • 8.Wilens TE. The nature of the relationship between attention-deficit/hyperactivity disorder and substance use. J Clin Psychiatry. 2007;68 (suppl 11):4–8. [PubMed] [Google Scholar]
  • 9.Biederman J, Monuteaux MC, Mick E, et al. Young adult outcome of attention deficit hyperactivity disorder: a controlled 10-year follow-up study. Psychol Med. 2006;36(2):167–179. doi: 10.1017/S0033291705006410. [DOI] [PubMed] [Google Scholar]
  • 10.Carroll KM, Rounsaville BJ. History and significance of childhood attention deficit disorder in treatment-seeking cocaine abusers. Compr Psychiatry. 1993;34(2):75–82. doi: 10.1016/0010-440x(93)90050-e. [DOI] [PubMed] [Google Scholar]
  • 11.Wise BK, Cuffe SP, Fischer T. Dual diagnosis and successful participation of adolescents in substance abuse treatment. J Subst Abuse Treat. 2001;21(3):161–165. doi: 10.1016/s0740-5472(01)00193-3. [DOI] [PubMed] [Google Scholar]
  • 12.Levin FR, Evans SM, Vosburg SK, et al. Impact of attention-deficit hyperactivity disorder and other psychopathology on treatment retention among cocaine abusers in a therapeutic community. Addict Behav. 2004;29(9):1875–1782. doi: 10.1016/j.addbeh.2004.03.041. [DOI] [PubMed] [Google Scholar]
  • 13.Clure C, Brady KT, Saladin ME, et al. Attention-deficit/hyperactivity disorder and substance use: symptom pattern and drug choice. Am J Drug Alcohol Abuse. 1999;25(3):441–448. doi: 10.1081/ada-100101871. [DOI] [PubMed] [Google Scholar]
  • 14.King VL, Brooner RK, Kidorf MS, et al. Attention deficit hyperactivity disorder and treatment outcome in opioid abusers entering treatment. J Nerv Ment Dis. 1999;187(8):487–495. doi: 10.1097/00005053-199908000-00005. [DOI] [PubMed] [Google Scholar]
  • 15.Barkley RA, Brown TE. Unrecognized attention-deficit/hyperactivity disorder in adults presenting with other psychiatric disorders. CNS Spectr. 2008;13(11):977–984. doi: 10.1017/s1092852900014036. [DOI] [PubMed] [Google Scholar]
  • 16.Levin FR, Upadhyaya HP. Diagnosing ADHD in adults with substance use disorder: DSM-IV criteria and differential diagnosis. J Clin Psychiatry. 2007;68(7):e18. doi: 10.4088/jcp.0707e18. [DOI] [PubMed] [Google Scholar]
  • 17.Ward MF, Wender PH, Reimherr FW. The Wender Utah Rating Scale: an aid in the retrospective diagnosis of childhood attention deficit hyperactivity disorder. Am J Psychiatry. 1993;150(6):885–890. doi: 10.1176/ajp.150.6.885. [DOI] [PubMed] [Google Scholar]
  • 18.Conners CK, Ehrhard D, Sparrow D. CAARS Adult ADHD Rating Scales. New York, NY: MHS; 1999. [Google Scholar]
  • 19.Kessler RC, Adler L, Ames M, et al. The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med. 2005;35(2):245–256. doi: 10.1017/s0033291704002892. [DOI] [PubMed] [Google Scholar]
  • 20.Stein MA, Sandoval R, Szumowski E, et al. Psychometric characteristics of the Wender Utah Rating Scale (WURS): reliability and factor structure for men and women. Psychopharmacol Bull. 1995;31(2):425–433. [PubMed] [Google Scholar]
  • 21.Murphy K, Barkley RA. Attention deficit hyperactivity disorder adults: comorbidities and adaptive impairments. Compr Psychiatry. 1996;37(6):393–401. doi: 10.1016/s0010-440x(96)90022-x. [DOI] [PubMed] [Google Scholar]
  • 22.Levin FR, Evans SM, Kleber HD. Prevalence of adult attention-deficit hyperactivity disorder among cocaine abusers seeking treatment. Drug Alcohol Depend. 1998;52(1):15–25. doi: 10.1016/s0376-8716(98)00049-0. [DOI] [PubMed] [Google Scholar]
  • 23.Michelson D, Adler L, Spencer T, et al. Atomoxetine in adults with ADHD: two randomized, placebo-controlled studies. Biol Psychiatry. 2003;53(2):112–120. doi: 10.1016/s0006-3223(02)01671-2. [DOI] [PubMed] [Google Scholar]
  • 24.Kessler RC, Adler LA, Gruber MJ, et al. Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members. Int J Methods Psychiatr Res. 2007;16(2):52–65. doi: 10.1002/mpr.208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ramos-Quiroga JA, Daigre C, Valero S, et al. Validation of the Spanish version of the Attention Deficit Hyperactivity Disorder Adult Screening Scale (ASRS v. 1.1): a novel scoring strategy. Rev Neurol. 2009;48(9):449–452. [PubMed] [Google Scholar]
  • 26.Adler LA, Guida F, Irons S, et al. Screening and imputed prevalence of ADHD in adult patients with comorbid substance use disorder at a residential treatment facility. Postgrad Med. 2009;121(5):7–10. doi: 10.3810/pgm.2009.09.2047. [DOI] [PubMed] [Google Scholar]
  • 27.West SL, Mulsow M, Arredondo R. An examination of the psychometric properties of the Attention Deficit Scales for Adults with outpatient substance abusers. Am J Drug Alcohol Abuse. 2007;33(5):755–764. doi: 10.1080/00952990600753883. [DOI] [PubMed] [Google Scholar]
  • 28.Levin FR. Diagnosing attention-deficit/hyperactivity disorder in patients with substance use disorders. J Clin Psychiatry. 2007;68(suppl 11):9–14. [PubMed] [Google Scholar]
  • 29.Epstein JN, Kollins SH. Psychometric properties of an adult ADHD diagnostic interview. J Atten Disord. 2006;9(3):504–514. doi: 10.1177/1087054705283575. [DOI] [PubMed] [Google Scholar]
  • 30.First MB, Williams JBL, Spitzer RL, et al. Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Clinical Trials Version (SCID-CT) New York, NY: Biometric Research, New York State Psychiatric Institute; 2007. [Google Scholar]
  • 31.Faraone SV, Biederman J, Spencer T, et al. Diagnosing adult attention deficit hyperactivity disorder: are late onset and subthreshold diagnoses valid? Am J Psychiatry. 2006;163(10):1720–1729. doi: 10.1176/ajp.2006.163.10.1720. [DOI] [PubMed] [Google Scholar]
  • 32.Wang PS, Berglund P, Olfson M, et al. Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):603–613. doi: 10.1001/archpsyc.62.6.603. [DOI] [PubMed] [Google Scholar]
  • 33.McGough JJ, Smalley SL, McCracken JT, et al. Psychiatric comorbidity in adult attention deficit hyperactivity disorder: findings from multiplex families. Am J Psychiatry. 2005;162(9):1621–1627. doi: 10.1176/appi.ajp.162.9.1621. [DOI] [PubMed] [Google Scholar]
  • 34.Schubiner H, Tzelepis A, Milberger S, et al. Prevalence of attention-deficit/hyperactivity disorder and conduct disorder among substance abusers. J Clin Psychiatry. 2000;61(4):244–251. doi: 10.4088/jcp.v61n0402. [DOI] [PubMed] [Google Scholar]
  • 35.ADHD and Disruptive Behavior Disorders Workgroup. American Psychiatric Association. Rationale for Changes in ADHD in DSM-5. [Accessibility verified September 26, 2012.];DSM-5 Development Web site. http://www.dsm5.org/ProposedRevision/Pages/proposedrevision.aspx?rid=383#.
  • 36.Faraone SV, Biederman J, Mick E. The age-dependent decline of attention deficit hyperactivity disorder: a meta-analysis of follow-up studies. Psychol Med. 2006;36(2):159–165. doi: 10.1017/S003329170500471X. [DOI] [PubMed] [Google Scholar]
  • 37.Kieling C, Kieling RR, Rohde LA, et al. The age at onset of attention deficit hyperactivity disorder. Am J Psychiatry. 2010;167(1):14–16. doi: 10.1176/appi.ajp.2009.09060796. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Solanto MV, Marks DJ, Wasserstein J, et al. Diagnosis of ADHD in adults: what is the appropriate DSM-5 symptom threshold for hyperactivity-impulsivity? [published online ahead of print October 5, 2011] J Atten Disord. doi: 10.1177/1087054711416910. [DOI] [PubMed] [Google Scholar]
  • 39.Stewart SH, Connors GJ. Screening for alcohol problems: what makes a test effective? Alcohol Res Health. 2004–2005;28(1):5–16. [PMC free article] [PubMed] [Google Scholar]
  • 40.Polanczyk G, de Lima MS, Horta BL, et al. The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry. 2007;164(6):942–948. doi: 10.1176/ajp.2007.164.6.942. [DOI] [PubMed] [Google Scholar]

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