Abstract
Background/Objectives: The co-occurrence of Attention-deficit/hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) is very common and worsens adaptive functioning. This systematic review evaluates both pharmacological and non-pharmacological interventions in this underserved population. Methods: Registered on PROSPERO (CRD42024526157), a systematic search was conducted on PubMed, Embase, and Web of Science until 5 April 2025. The review includes (a) pilot studies and RCTs, (b) participants aged <18 years, (c) diagnoses of ASD and ADHD based on DSM-IV/V or ICD-9/10, (d) at least one group receiving any intervention, and (e) publications in English, Italian, Spanish, or German. Newcastle Ottawa Scale tools for non-randomized studies and the Cochrane Risk of Bias Tools for randomized controlled trials were used to assess studies’ quality. Results: A total of 32 studies were included: 87.5% concerning pharmacological treatments. Specifically, methylphenidate (MPH, n = 11), atomoxetine (ATX, n = 11), guanfacina (n = 4), clonidine (n = 1), or atypical antipsychotics (n = 1) were examined. MPH and ATX were most frequently studied, with both showing positive effects in reducing ADHD core symptoms compared to placebo. ATX also reduces stereotyped behaviors and social withdrawal, although more withdrawals due to adverse events (AEs) were reported for ATX than MPH. Four studies (12.5%) examined non-pharmacological interventions, including treatment with virtual reality tools, digital platforms, educational animations, and biomedical protocols; improvements in emotion recognition, behavioral regulation, attention, and social functioning were found. Conclusions: While limited data prevent definitive conclusions, MPH and ATX appear to be relatively safe and effective on hyperactivity-impulsivity symptoms, even in individuals with ASD. Evidence on non-pharmacological treatments is limited, and further studies are needed to better establish their therapeutic potential.
Keywords: Autism spectrum disorder, attention deficit disorder with hyperactivity, treatment, intervention, psychopharmacology, drug therapy, behavior therapy
1. Introduction
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social interaction, communication, restricted and repetitive patterns of behavior, and interests [1].
Its prevalence has risen steadily: recent U.S. surveillance data estimate rates of 1.70% in four-year-olds and 1.85% in eight-year-olds—approximately 1 in 36 children, according to DSM-5-TR criteria.
Across Europe, reported prevalence ranges from 0.38% to 1.55% [2]. Co-occurring psychiatric or mental health conditions are common: about 70% of autistic individuals receive at least one additional psychiatric disorder [3,4].
The high rate of comorbidity may reflect overlapping symptomatology [5], the presence of distinct psychiatric disorders [6], and early life experiences related to the autism spectrum [7]. Among these co-occurring conditions, attention-deficit/hyperactivity disorder (ADHD) is one of the most frequently observed, affecting 30–40% of autistic children [8], and evidence suggests a notable increase in the co-occurrence of these two conditions in comparison with the past [9]. While ASD and ADHD have distinct diagnostic criteria and are classified as separate disorders according to the Diagnostic and Statistical Manual of Mental Disorders (DSM) [1], they share several characteristics, including neuropsychological traits and some genetic influences [10,11,12,13].
Specifically, ADHD is one of the most prevalent neurodevelopmental disorders globally, affecting an estimated 5% to 7.1% of children and adolescents and around 2.5% of adults [14,15,16]. This condition places a significant care burden on both society and families [17,18]. An international consensus statement from the World ADHD Federation summarizing 208 evidence-based findings on ADHD, which highlighted the high prevalence of co-occurring psychiatric disorders, including ASD, and the need for personalized treatment approaches [19].
However, the clinical management of individuals with both ASD and ADHD presents significant challenges. Although methylphenidate (MPH) is widely recommended as a first-line treatment for children and adolescents with ADHD [20], its clinical benefit in patients with co-occurring ASD appears to be reduced, with response rates of 50–60% compared to 75% in individuals with ADHD alone [21,22]. Improvements tend to be greater for hyperactivity–impulsivity than for inattention, and adverse events are reported more frequently in the comorbid population [21]. Overall, treatment response to psychotropic medications in this group is remarkably heterogeneous, and sensitivity to side effects is often high [23].
Because co-occurrence of ASD and ADHD is associated with poorer adaptive functioning and lower quality of life than either disorder alone [24], there is an urgent need to identify effective and targeted interventions [25]. Despite growing interest, evidence for both pharmacological and non-pharmacological options remains limited and fragmented.
For example, recent comprehensive reviews highlight inconsistent findings regarding the safety of ADHD medications in special populations [20] and the limited effectiveness of social skills training in ADHD individuals [26]. These gaps underscore the need for a systematic review that integrates both pharmacological and non-pharmacological approaches. This review, through an integrative approach, aims to provide a comprehensive overview of current therapeutic options for co-occurring ASD and ADHD, helping clinicians and researchers understand existing evidence-based data.
This systematic review aims to address current gaps in the literature by providing a comprehensive synthesis of both pharmacological and non-pharmacological interventions for individuals with co-occurring ADHD and ASD. To the best of our knowledge, this is the first systematic review to simultaneously summarize the existing evidence on both treatment modalities in this often under-recognized population.
Specifically, we aimed to (a) describe the characteristics of the study populations included; (b) identify the symptom domains assessed and the outcome measures employed; (c) evaluate the reported outcomes and safety of pharmacological and non-pharmacological interventions; and (d) examine potential moderators of treatment response, including symptom-specific intervention strategies.
2. Materials and Methods
2.1. Data Source and Search Strategy
The protocol of this review was registered in the PROSPERO database with the following code: CRD42024526157, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [27,28] (see Table S1 in Supplementary Materials for PRISMA Statement). We conducted a systematic search on three electronic databases: PubMed, Embase, and Web of Science. A systematic search was carried out through the combination of the words: “Autism”, “ADHD”, and “Treatment” with the use of various synonyms in the search query or the respective MeSH term; the complete search strategy is reported in Supplementary Table S1. We also searched the reference lists of included studies or reviews to ensure that a comprehensive list of relevant articles was considered for inclusion.
The search strategy included studies focused on co-occurring ASD and ADHD in subjects aged between 2 and 18 years until April 5, 2025. We included studies that met all of the following inclusion criteria: (a) pilot studies, randomized controlled studies (RCTs); (b) studies involving participants aged <18 years; (c) inclusion of individuals with both ASD and ADHD diagnoses according to the DSM IV or 5 [1,29] or the International Classification of Diseases 9 or 10 [30,31] (d) at least a group receiving a pharmacological/non-pharmacological intervention; (e) English, Italian, Spanish, and German languages. The exclusion criteria were: (a) clinical cases, preprints, letters to the editor, reviews, and systematic reviews; (b) studies with a sample that did not have co-occurring diagnoses of ASD and ADHD; and (c) studies in languages other than English, Italian, Spanish, and German.
2.2. Selection Procedures
Study selection was conducted by two blinded authors (CDD, MDC). After removing duplicates, identified references were initially screened by title and abstract. Full-text articles were then assessed for eligibility based on title, abstract, full-text content, and specificity of the topic. In cases of disagreement, a third author (FC) was consulted to reach a consensus. When overlapping studies were identified, the largest study was included.
2.3. Data Extraction and Evaluation
All variables were coded as categorical and well-defined by one author (FC) to accurately describe and assess study characteristics. The coding process included interim and final agreement checks to ensure consistency and reliability. After initial coding, two blinded authors (CDD, MDC) independently reviewed and aligned their assessments with the predefined metrics. Any discrepancies identified during the interim checks were discussed and resolved by consensus between the authors, ensuring alignment before proceeding. In the final step, a thorough review confirmed full agreement on the coding and summary of the articles. The data extraction process included background information such as first author, publication year, country, and study design. Sample characteristics were also analyzed, including sample size, ethnicity, gender distribution (M:F ratio), age (mean, standard deviation, and range), clinical diagnostic assessments, comorbid neuropsychiatric conditions, reported Intellectual Quotient (IQ), and the size of each experimental group, where applicable. Intervention characteristics were examined regarding objectives and main effects, type of intervention, dosage (mean or range), duration, adverse events, and outcome measures.
2.4. Strategy for Data Synthesis
Primary outcomes included intervention effects and improvement in core symptoms (e.g., inattention, hyperactivity, and social behavior). Secondary outcomes included safety (adverse events), tolerability (e.g., dropout rates), and treatment response moderators. A meta-analysis was not conducted due to substantial clinical and methodological heterogeneity among the included studies, including differences in sample characteristics, intervention types, outcome measures, and study designs.
Additional sub-analyses were conducted based on: (1) sample characteristics, (2) domains investigated and outcome measures type of intervention, and (3) safety and tolerability, considered as the proportion of participants who left the study because of any side effect. (4) synthesis of main effects on studied intervention, (5) response moderators, and (6) quality assessment.
No statistical analysis of heterogeneity was performed due to the high variability in study designs, interventions, and outcome measures.
2.5. Quality Assessment
The Newcastle-Ottawa Scale (NOS) [32] was used to evaluate the quality of non-randomized studies. The NOS examines eight domains of bias, with each domain receiving a maximum of one star, except for comparability, which can achieve up to two stars. These domains are (1) representativeness of the exposed cohort; (2) ascertainment of exposure; (3) selection of the unexposed cohort; (4) demonstration that the outcome of interest was not present at baseline; (5) comparability of cohorts based on design or analysis; (6) outcome assessment; (7) sufficient follow-up duration; and (8) adequacy of follow-up. Scores for studies range from 0 to 9 points and are divided into the following categories: 0–3, indicating poor quality; 4–6, fair quality; and 7–9, good or high quality.
For randomized controlled trials (RCTs), we used the Cochrane Risk of Bias tool [33], which evaluates seven key domains such as the randomization process; allocation concealment; blinding of participants and personnel; blinding of outcome assessment; incomplete outcome data; selective reporting; and other biases. The results were then standardized according to Agency for Healthcare Research and Quality (AHRQ) criteria [34], classifying RCTs as ‘good quality’, ‘fair quality’, or ‘poor quality’.
Two independent reviewers (GL and AA) conducted the risk of bias assessments. Any discrepancies were discussed with a third reviewer (FC) to reach a consensus. The domains evaluated for each study are detailed in the results table.
3. Results
The literature search yielded a total of n = 3,752,848 results. All the selection processes are reported in Figure 1. After removing n = 95 duplicates, we excluded n = 3,752,041 following the screening procedure; we identified n = 712, which were assessed for eligibility. Finally, we included n = 32 studies, among those n = 28 (87.5%) regarding pharmacological treatment and n = 4 (12.5%) regarding other types of intervention. Most studies (n = 18, 56.25%) were carried out in North America, followed by Europe (n = 10, 31.25%) and Asia (n = 4, 12.5%). A full reference list for the studies included is reported in the Supplementary Materials.
Figure 1.
PRISMA 2020 flow diagram.
3.1. Sample Characteristics
The overall database, considering all studies, comprised n = 1080 subjects with both ASD and ADHD. The sample size of each study ranged from 8 to 128, and the age range of the study participants was 4 to 18 years (mean age 9.5 ± 1.7 years). Of the participants, 63.33% were White, with male gender prevalence. A total of 12 studies (37.5%) included a sample with IQ > 70, and only four (12.5%) studies included IQ < 70, while the other studies (n = 14, 43.75%) included a mixed sample; only n = 2 studies (6.25%) did not refer to the IQ of the participants. All sample characteristics of the included studies are presented in Table 1.
Table 1.
Sample characteristics of the included studies.
| Reference | Study Design | Sample Size | Ethnicity % | Sex Ratio M:F | Age Range in Years (Mean ± SD) | IQ, Mean (SD) or % of Individuals with Intellectualdisability | 
|---|---|---|---|---|---|---|
| RUPP., 2005 [35]; Posey et al., 2006 [36]; Scahill et al., 2017 [37] | randomized crossover trial | 72 | 73.3% White/Non-Hispanic, 15% Black or African American, 6.7% Asian, 5% Hispanic | 9:1 | 5–14 (7.4 ± 2.1) | IQ 40% ≥ 70 50% < 70 10% missing data | 
| RUPP., 2005 [35] | OPEN-LABEL extention study | 35 | // | // | 5–14 (7.4 ± 2.1) | // | 
| Santosh et al., 2006 [38] | Retrospective | ADHD: 113 | N.R. | 4:1 | NR (13.1 ± 3.18) | 5.65% | 
| ASD + ADHD: 61 | NR (12.4 ± 3.01) | 7.32% | ||||
| Prospective, quasiexperimental, within-subjects | ADHD: 25 | NR | 4.5:1 | NR (11.6 ± 2.5) | 95.2 (16.1) | |
| ASD + ADHD: 27 | 9:1 | NR (10.6 ± 2.7) | 84.3 (25.1) | |||
| Simonoff et al., 2013 [39] | randomized controlled double-blind trial | 61 | N.R. | 1:0.5 | 7–15 (11.5 ± 2.3) | 53 (10.5) | 
| 61 | 2.8:1 | 7–15 (10.9 ± 2.4) | 54 (9.6) | |||
| Pearson et al., 2013; 2020 [40,41] | Single-blind, within-subject, dose crossover, placebo-controlled design | 24 | 75% Caucasian, 16.6% African-American, 4.17% Asian, 4.17% multiple races | 3.8:1 | 7.1–12.7 (8.8 ± 1.6) | 85.0 (16.8) | 
| Golubchik et al., 2017 [42] | open-label design | 12 | N.R. | 4.5:1 | 8–18 (11.3 ± 2.0) | ≥IQ 70 | 
| Kim et al., 2017 [43] | Pilot randomized study | Low dose group: 9 | 55.56% Caucasian, 18.52% multiple races, 14.81% NR, 7.41% other, 3.70% Asian | 9:1 | 5–14(9.33 ± 2.92) | NR | 
| medium dose group: 18 | 9:1 | 5–15 (9.11 ± 3.12) | NR | |||
| Peled et al., 2019 [44] | Within subject | 40 | N.R. | 9:1 | 6–18 (9.0 ± N.R.) | IQ in the normal range | 
| Ventura et al., 2022 [45] | Naturalistic study | ASD + ADHD: 29 | Caucasian 100% | 4.5:1 | 6–18 (13.3 ± NR) | 96.3 (NR) | 
| ADHD: 41 | 1:0 | 6–18 (13.4 ± NR) | 97.2 (NR) | |||
| Arnold et al., 2006 [46] | double-blind, placebo-controlled, crossover pilot study | 16† | 81.3% White,12.5% African, 6.2% Asian | 3:1 | 5–15 (9.26 ± 2.93) | mental age ≥ 18 months | 
| Troost et al., 2006 [47] | Pilot, within subject study | 12 | N.R. | 4.5:1 | 6–14 (10.2 ± 2.8) | ≥IQ 70 | 
| Posey et al., 2006 [36] | prospective, open label study | 16 | 68.75% white 12.5% African american 12.5% Hispanic/Latino; 6.25% african american/white | 4.5:1 | 6–14 (7.7 ± 2.2) | 93.9 ± 18.0 | 
| Harfeterkamp et al. 2012; 2014 [48,49] | double-blind RCT | 48 | 100% White, 0% African | 9:1 | 6–16 (9.9 ± 2.7) | 91.0 (16.4) | 
| 49 | 98% White, 2% African | 9:2 | 6–17 (10 ± 2.9) | 94.6 (17.7) | ||
| Harfeterkamp et al. 2013 [50] | open-label extension study | 42 | N.R. | 9:1 | 6–16 (10.0 ± 2.8) | 93.1 (17.3) | 
| 46 | 4.5:1 | 6–17 (10.0 ± 3.0) | ||||
| Fernandez-Jaen et al., 2013 [51] | prospective, open label study | 24† | N.R. | 3:2 | 5–17 (8.8 ± 3.38) | 80% | 
| Handen et al. 2015 [52]; Tumuluru et al., 2017 [53] | double-blind RCT | 32 | 87.5 Caucasian, 3.1% African | 9:0 | 5–14.11 (8.0 ± 1.9) | 83.3 (21.6) | 
| 32 | 84.4% Caucasian, 6.3% African | 4.5:1 | 5–14.11 (8.6 ± 2.3) | 78.7 (25.9) | ||
| 32 | 81.3% Caucasian, 6.3% African | 4.5:1 | 5–14.11 (7.7 ± 1.5) | 77.9 (25.7) | ||
| 32 | 75.0% Caucasian, 15.6% African | 9:1 | 5–14.11 (8.2 ± 2.4) | 86.7 (23.7) | ||
| Smith et al., 2016 [54] | open-label extension study | 28 | 85.7% Caucasian, 3.6% African American, 0% Other, 10.7% Multiracial | 5:1 | 5–14.11 (8.0 ± 1.8) | 85.4 ± 22.9 | 
| 15 | 60.0% Caucasian, 20.0% African American, 6.7% Other, 13.3% Multiracial | 2:1 | 5–14.11 (8.1 ± 2.0) | 74.3 ± 26.6 | ||
| 19 | 79.0% Caucasian, 5.3% African American, 5.3% Other, 10.5% Multiracial | 18:1 | 5–14.11 (7.7 ± 1.3) | 82.9 ± 24.1 | ||
| 22 | 81.8% Caucasian, 13.6% African American, 0% Other, 4.6% Multiracial | 3:1 | 5–14.11 (8.4 ± 2.5) | 89.4 ± 22.9 | ||
| Kilincaslan et al., 2016 [55] | naturalistic retrospective study | 37 | N.R. | 3:1 | 6–17 (10.16 ± 3.60) | <70; mild 27% moderate 46% severe 27% | 
| Scahill et al., 2007 [56]; McCracken et al., 2010 [57] | Prospective Open-label Trial | 25 | 72% caucasian, 24% black, 4% Hispanic | 11.5.1 | 9.03 (±3.14) | 31.56% | 
| Scalhill et al., 2015 [58]; Politte et al., 2018 [59] | randomized, placebo-controlled trial | 30 | 56.67% white, 23.3% black, 13.33% asian, 3.33% pacific islander, 3.33% mixer | 9:1 | 5–14 (8.5 ± 2.25) | 36.7% | 
| 32 | 68.75% white, 12.50% black, 3.13% asian, 3.13% pacific islander, 9.38% mixer | 4.5:1 | 33.0% | |||
| Jaselskis et al., 1992 [60] | double blind placebo controlled crossover study | 8 | N.R. | 8 | 5–13.4 (8.1 ± 2.8) | 30–75 (59 ± 16) | 
| Lamberti et al., 2016 [61] | Pilot, Open-Label, Randomized Controlled Study | 22 | NR | 4.5:1 | 6–13 (7.8 ± 2.3) | ≥55 | 
| 22 | NR | 3:1 | 6–13 (8.4 ± 2.9) | 
ADHD = attention deficit hyperactivity disorder; ASD = Autism spectrum disorder; N.R = Not Reported; IQ = Intelligence Quotient.
3.2. Domains Investigated and Outcome Measures
All studies evaluated ADHD core symptoms as the primary aims of treatment, considering change in severity of attention, hyperactivity, and impulsivity as the main measures of outcome. Specifically, hyperactivity and inattention symptoms were the prevalent therapeutic effects in almost all the studies, at 31/32 (96.9%) and n = 30/32 (93.7%), respectively. Among ASD symptoms, the most investigated domains concerned stereotyped behaviors (n = 24, 75%) and social withdrawal (n = 22, 68.7%). Improvements in stereotyped behaviors were observed only in nine studies out of 24 (37.5%), and social withdrawal in 7/22 (31.8%).
Overall, very heterogeneous outcome measures were used, with a greater prevalence of questionnaires; the most used were: Aberrant Behavior Checklist (ABC; n = 15/32, 46.9%) [62], Conners Parent Rating Scales–Revised (CPRS; n = 10/32, 31.2%) [63], Swanson, Noland, and Pelham Scale IV (SNAPIV; 7/32, 21.9%) [64]. Moreover, clinical observation was performed in most of the studies, with Clinical Global Improvement as the most frequently measured (CGI; n = 19/32, 59.4%) [65]. A complementary view to clinicians’ ratings was collected through teachers’ ratings. In 40.6% (13/32) of the studies, teacher-reported outcome measures were included to assess treatment effects in the school setting. For more details, see Table 2.
Table 2.
Main characteristics and results of included pharmacological studies.
| Reference | Study Design | Sample Size | Investigated Domains | Outcome Measures | Pharmacological Treatment | Mean or Range Dose | Treatment Duration | Efficacy | 
|---|---|---|---|---|---|---|---|---|
| RUPP., 2005 [35]; Posey et al., 2006 [36]; Scahill et al., 2017 [37] | Randomized crossover trial | 72 | Hyperactivity, irritability, social withdrawal, stereotyped behaviors, inappropriate speech, distractibility, impulsivity, challenging behaviours | ABC (parent and teacher raters), CGI (RUPP 2005 [35], Scahill 2017 [37]); SNAP-IV, CYBOCS-PDD, (Posey 2006 [36]); PTPs (Scahill 2017 [37]); | Placebo | // | 1 week for each dose | // | 
| MPH IR | ~0.125 mg/kg ×2/day + half dose at 4 P.M. | Hyperactivity (both parents and teachers), inattention | ||||||
| ~0.25 mg/kg ×2/day + half dose at 4 P.M. | Hyperactivity (both parents and teachers); ADHD-related problems targeted by parents | |||||||
| ~0.5 mg/kg ×2/day + half dose at 4 P.M. | Hyperactivity (both parents and teachers); ADHD-related problems targeted by parents. The greatest improvement was recorded at the highest dose | |||||||
| RUPP., 2005 [35] | OPEN LABEL extension study | 35 | hyperactivity, irritability, social withdrawal, stereotyped behaviors, inappropriate speech | ABC (parent and teacher raters) | MPH IR | adjusted on clinical judgment | 8 weeks | Hyperactivity (both parents and teachers) | 
| Santosh et al., 2006 [38] | Retrospective | ADHD: 113 | therapeutic effects on degree of illness | CGI and TEI | MPH | MPH 30 mg/day in 3 divided doses | 8 weeks | The clinical response was not statistically different between the groups | 
| ASD + ADHD: 61 | MPH 30 mg/day in 3 divided doses | |||||||
| Prospective, quasiexperimental, within-subjects | ADHD: 25 | hyperactivity, impulsivity, inattention, oppositionality, aggressivity, intermittent explosive rage, antisocial behav., tics, social communication, language, clumsiness, repetitive behav, circumscribed interests, cognitive rigidity, self-injury, stereotypies, hypersensitivity, lack of remorse, obsessions, low mood, depressive ideation, warries, panic, fears, labile mood, somatic symp., eating probl, sleep probl., bed wetting, hallucination, seizures | PONS-C, CGI | MPH | mean dose 31.7 mg/day | 8 weeks | hyperactivity, impulsivity, inattention, oppositionality, aggression and intermittent explosive rage | |
| ASD + ADHD: 27 | mean dose 33.8 mg/day | hyperactivity, impulsivity, inattention, oppositionality, aggression and intermittent explosive rage | ||||||
| Simonoff, et al., 2012 [39] | randomized controlled double-blind trial | 61 | inattention, hyperactivity, impulsivity, irritability, social withdrawal, stereotyped behaviors, inappropriate speech | CPRS-R, CTRS-R, ABC, CGI-I | Placebo | // | 16 weeks (at least 1 week of dose titration for each dose; after the optimal dose for each participant was prescribed for the remaining of 16 weeks) | // | 
| 61 | MPH IR | 0.5 mg/kg ×3/day | hyperactivity and Conners ADHD index (both parents and teachers); 40% improved at CGI | |||||
| 1.0 mg/kg ×3/day | ||||||||
| 1.5 mg/kg ×3/day | ||||||||
| Pearson et al., 2013; 2020 [40,41] | Single-blind, within-subject, dose crossover, placebo-controlled design | 24 | inattention, hyperactivity, impulsivity, emotional lability, irritability, oppositional, social withdrawal, social skills, social communication, stereotypy, and inappropriate speech (Pearson D.A. et al., 2013 [40]). Sustained attention, selective attention, impulsivity/inhibition (Pearson D.A. et al., 2020 [41]) | CPRS-R, CTRS-R, SNAP-IV, ACTeRS, ABC, SCQ, VAS, CGI (Pearson D.A. et al., 2013 [40]); CPT, SCT, PSIT, GDS, MFFT, SST (Pearson D.A. et al., 2020 [41]) | Placebo | // | 1 week for each dose | // | 
| MPH (ER morning + IR afternoon doses) | LA 0.21 mg/kg + IR 0.14 mg/kg | teachers detected significant improvements in hyperactivity and impulsivity (Pearson D.A. et al., 2013 [40]); gain in sustained attention, selective attention both auditive and visive, impulsivity/inhibition | ||||||
| 0.35 mg/kg + 0.24 mg/kg | Both parents and teachers: hyperactivity, impulsivity, social skills (Pearson D.A. et al., 2013 [40]); gain in sustained attention, selective attention both auditive and visive, impulsivity/inhibition | |||||||
| 0.48 mg/kg + 0.27 mg/kg | Both parents and teachers: oppositional behavior, hyperactivity, impulsivity, attention, irritability, inappropriate speech, and social skills. These effects were greater than the medium dose. Clinicians reported the most dramatic improvement. (Pearson D.A. et al., 2013 [40]); greater improvement in sustained attention at the highest dose, selective attention both auditive and visive, impulsivity/inhibition. | |||||||
| Golubchik et al., 2017 [42] | open-label design | 12 | inattention, hyperactivity, impulsivity, anxiety and depression symptoms | ADHD-RS, SCARED, CDI | MPH | 10–54 mg/day | 12 weeks | attention-deficit/hyperactivity symptoms, school-related anxiety | 
| Kim et al., 2017 [43] | Pilot randomized study | Low dose group: 9 | inattention, hyperactivity, impulsivity, irritability, social withdrawal, inappropriate speech, stereotyped behaviors. | ADHD-RS-INV, CGI-I, ABC | MPH ER | 0.29 mg/kg | 6 weeks | attention, hyperactivity, impulsivity and clinical global improvement for low and medium doses, with greater improvement at the highest dose. Additionally, irritability, lethargy, inappropriate speech, and stereotyped behaviors only for medium dose. | 
| medium dose group: 18 | 0.5 mg/kg | |||||||
| Peled et al., 2019 [44] | Within subject | 40 | inattention, hyperactivity, processing speed, impulsivity | MOXO-CPT | MPH IR | 10 mg i.r. | single dose | Processing speed | 
| Ventura et al., 2022 [45] | Naturalistic study | ASD + ADHD: 29 | Emotional disregulation | CBCL | MPH ER | 0.8 mg/kg | 12 weeks | significant reduction in emotion dysregulation | 
| ADHD: 41 | 0.78 mg/kg | 12 weeks | significant reduction in emotion dysregulation | |||||
| Arnold et al., 2006 [46] | double-blind, placebo-controlled, crossover pilot study | 16† | inattention, hyperactivity, impulsivity, irritability, social withdrawal, stereotyped behaviors, inappropriate speech; Self-injury, Compulsions, Rituals, Restrictive | ABC hyperactivity subscale, RBSR, CGI-S, CGI-I, CPT, DMST, ACT | Placebo | // | 6 weeks | // | 
| ATX | 1.4 mg/kg/day in split dose (maximum daily dose) | hyperactivity, impulsivity, social withdrawall | ||||||
| Troost et al., 2006 [47] | Pilot, within subject study | 12 | inattention, hyperactivity, impulsivity, oppositional, irritability, social withdrawal, stereotypy, inappropriate speech | ADHD-RS IV, CPRS-R, ABC; CGI-ADHD-S | ATX | 0.5–1.8 mg/kg/day (divided into two doses based on patient-preference) | 10 weeks | Hyperactivity, attention | 
| Posey et al., 2006 [36] | prospective, open label study | 16 | inattention, hyperactivity, impulsivity, irritability, social withdrawal, stereotype, inappropriate speech, social responsiveness. | SNAP-IV reported both by parents and teachers, ABC, CGI-I, SRS | ATX | 1.2–1.4 mg/kg/day | 8 weeks | adhd total score reported both by parents and teachers; irritability, social withdrawal, stereotype, inappropriate speech reported by parent | 
| Harfeterkamp et al. 2012; 2014 [48,49] | double-blind RCT | 48 | inattention, hyperactivity, impulsivity (Harfeterkamp M., et al. 2012 [48]); irritability, social withdrawal, stereotypic behavior, inappropriate speech, subtle social, communicative, and repetitive behaviors (Harfeterkamp M., et al. 2014 [49]); | ADHD RS-IV, CTRS-R:S, CGI-ADHD-S (Harfeterkamp M., et al. 2012 [48]); ABC, CSBQ (Harfeterkamp M., et al. 2014 [49]) | ATX | 1.2 mg/kg/day | 8 weeks | Hyperactivity, inattention, and impulsivity, reported both by parents and teachers (Harfeterkamp M., et al. 2012 and 2014 [48,49]); inappropriate speech, and stereotypic behavior, fear of changes (Harfeterkamp M., et al. 2014 [49]) | 
| 49 | Placebo | // | // | |||||
| Harfeterkamp et al. 2013 [50] | open-label exstension study | 42 | inattention, hyperactivity, impulsivity | ADHD-RS, CGI | ATX | 0.8–1.2 mg/kg/day, based on tolerability | 20 weeks | Hyperactivity, inattention, impulsivity | 
| 46 | ||||||||
| Fernandez-Jaen et al., 2013 [51] | prospective, open label study | 24† | inattention, hyperactivity, impulsivity, conduct problems | ADHD RS-IV, CPRS-R, CTRS-R:S, CGI-I | ATX | 39.79 mg/day (±12.46) | 16 weeks | Hyperactivity, inattention, impulsivity, reported both by parents and teachers | 
| Handen et al. 2015 [52]; Tumuluru, et al., 2017 [53] | double-blind RCT | 32 | inattention, hyperactivity, impulsivity; non-compliance (parents and teachers raters); irritability, social withdrawal, stereotypy, inappropriate speech (Handen B. L., et al. 2015 [52]) | SNAP IV and ABC (parent and teacher rater), CGI-ADHD, HSQ, SSQ (Handen B. L., et al. 2015 [52]) | ATX + PT | 1.35 mg/kg/split twice daily | 10 weeks (6 w tritation + 4 w manteinment) | Hyperactivity, inattention, impulsivity, reported by parents; inappropriate speech, home non-compliance | 
| 32 | ATX | 1.38 mg/kg/split twice daily | Hyperactivity, inattention, impulsivity, reported by parents; home non-compliance | |||||
| 32 | Placebo + PT | // | Hyperactivity, inattention, impulsivity, irritability, reported by parents; inappropriate speech (by parents and teachers), school non-compliance. | |||||
| 32 | Placebo | // | None | |||||
| Smith et al., 2016 [54] | open-label extension study | 28 | inattention, hyperactivity, impulsivity; non-compliance (parents), irritability, social withdrawal, stereotypy, inappropriate speech | SNAP IV and ABC (parent rater), CGI-ADHD, HSQ | ATX | 1.16 mg/kg | 24 weeks | Hyperactivity, inattention, impulsivity, home non-compliance | 
| 15 | Placebo | // | // | |||||
| 19 | ATX + PT | 1.16 mg/kg | Hyperactivity, inattention, impulsivity, home non-compliance | |||||
| 22 | Placebo + PT | // | no significant difference | |||||
| Kilincaslan et al., 2016 [55] | naturalistic retrospective study | 37 | inattention, hyperactivity, impulsivity, irritability, social withdrawal, stereotyped behaviors, inappropriate speech; | ADHD-RS, ABC, CGI, CARS | ATX | 1.20 ± 0.11 mg/kg/day | 12 weeks | Hyperactivity, inattention, impulsivity, social withdrawal | 
| Scahill et al. 2007 [56]; McCracken et al. 2010 [57] | Prospective Open-label Trial | 25 | inattention, hyperactivity, irritability, social withdrawal, stereotypy, inappropriate speech | ABC, SNAPIV (both parents and teachers), CGI-I (Scahill, L et al. 2006) [56] | Guanfacine | 3–5 mg/day | 8-weeks | Hyperactivity, Inattention (parents and teachers raters), Irritability, Social withdrawal, Stereotypy (parents raters) | 
| Scalhill, et al. 2015 [58]; Politte et al. 2018 [59] | randomized, placebo-controlled trial | 30 | inattention, hyperactivity, irritability, social withdrawal, stereotypy, inappropriate speech, working memory, motor planning (Scailhill, L. et al. 2015 [58]); oppositional behavior, non-compliance, anxiety, repetitive behavior, and sleep disturbance (Politte, L. et al. 2018 [59]) | ABC, ADHD-RS, CGI-I, RPDR, NEPSY II (Scailhill, L. et al. 2015 [58]), HSQM, CASI, CYBOCS-ASD, CSHQ (Politte, L. et al. 2018 [59]) | ER Guanfacine | 3–4 mg/day | 8 weeks | Hyperactivity, inattention, stereotypy, inappropriate speech (Scailhill, L. et al. 2015 [58]); hyperactivity, oppositional and repetitive behavior (Politte, L. et al. 2018 [59]) | 
| 32 | Placebo | // | // | |||||
| Jaselskis et al., 1992 [60] | double blind placebo controlled crossover study | 8 | ADHD Index, inattention, hyperactivity, impulsivity, irritability, social withdrawal, stereotypy, inappropriate speech, oppositivity, non-compliance | CPRS-R, CTRS-R, ACTeRS, ABC (parent and teachers raters), HSS, CGI-I | Placebo | // | 6 weeks | // | 
| Clonidine | 0.15–0.20 mg/day | ADHD Index (parents raters), hyperactivity, irritability, stereotypy, inappropriate speech, oppositional behaviours (teachers raters) | ||||||
| Lamberti et al., 2016 [61] | Pilot, Open-Label, Randomized Controlled Study | 22 | general functioning, inattention, hyperactivity, impulsivity, oppositional, ADHD Index, severity of illness | C-GAS, CGI-S, ADHD R-S, CPRS-R:S | Risperidone | 3 mg/day | 12 weeks | ADHD-RS index, hyperactivity, illness severity | 
| 24 weeks | ADHD-RS index, hyperactivity, illness severity | |||||||
| 22 | Aripiprazole | 15 mg/day | 12 weeks | ADHD-RS index, hyperactivity, inattention, illness severity, increased global functioning | ||||
| 24 weeks | ADHD-RS index, hyperactivity, inattention, illness severity, increased global functioning | 
Pharmacological agent/group legend: MPH = Methylphenidate; ATX = atomoxetine; IR = Immediate Release; ER = Extended Release; PT = Parent Training; Legend Test: Moxo-CPT = MOXO-Continuous Performance Test; CPRS-R = Conners Parent Rating Scale-Revised; CTRS-R = Conners Teacher Rating Scale-Revised; SNAP-IV = Swanson, Noland, and Pelham Scale; ACTeRS = ADHD Comprehensive Teacher Rating Scale; ABC = Aberrant Behavior Checklist; SCQ = Social Communication Questionnaire; VAS = Visual Analog Scale; CGI-I = Clinical Global Impressions-Improvement; CGI-S = Clinical Global Impressions-Severity; CPT = Continuous performance test; SCT = Speeded classification task; PSIT = Pediatric Speech Intelligibility Test; GDS = Gordon Diagnostic System; MFFT = Matching Familiar Figures Test; SST = Stop signal task; CYBOCS-PDD = Children’s Yale-Brown Obsessive Compulsive Scales for PDD; PTPs = Parent Target Problems; CBCL = Child Behavior Checklist; ADHD RS-INV = ADHD Rating Scale, Investigator Version; TEI = Therapeutic Efficacy Index; PONS-C = Profile of Neuropsychiatric Symptoms; SCARED = Screen for Child Anxiety Related Emotional Disorders; CDI = Children’s Depression Inventory; RBSR = Repetitive Behavior Scale-Revised; CPT = Continuous Performance Task; DMST = Delayed Match-to-Sample Task; ACT = Analogue Classroom Task; HSQ = Home Situations Questionnaire; SSQ = Scholl Situations Questionnaire; SRS = Social Responsiveness Scale; CSBQ = Children’s Social Behavior Questionnaire; CARS = Childhood Autism Rating Scale; ACTr-Rs = Attention Deficit Disorder with Hyperactivity Comprensive Teacher’s Rating Scale; ; C-GAS = Children’s Global Assessment Scale; ADHD Rating Scale-IV.
For the results’ greater readability, we reported the results of pharmacological and non-pharmacological interventions separately.
3.3. Safety
AEs related to pharmacological interventions were investigated using non-standardized parent-reported surveys in 15 out of 28 studies (53.6%), while validated questionnaires were used in only 4 studies (14.3%). Basic physical examinations were conducted in 13 studies (46.4%), most frequently including blood pressure (11 studies, 39.3%), heart rate (10, 35.7%), body weight (10, 35.7%), and electrocardiograms (5, 17.9%). Laboratory testing was conducted in only 2 studies (7.1%), and 4 studies did not report any safety assessment procedures. Regarding overall tolerability, 85 out of 1080 participants (7.9%) discontinued treatment due to adverse events.
A summary of the main adverse events and treatment discontinuation rates by pharmacological agent is provided below:
- 
-MPH: Most frequent AEs were decreased appetite, sleep disturbances, irritability, and gastrointestinal symptoms. 28 out of 388 patients (7.2%) discontinued. 
- 
-ATX: Similar profile to MPH, with 45 dropouts out of 306 patients (14.7%). 
- 
-GFC: Common AEs included irritability and sleep problems (notably insomnia and mid-sleep awakenings). 2 out of 87 patients (2.3%) withdrew. 
- 
-Clonidine: Drowsiness and irritability were reported; no dropouts. 
Antipsychotics: Increased appetite and weight gain were observed; no treatment discontinuation. More detailed information on safety and treatment withdrawal is reported in Table 3.
Table 3.
Safety measures and adverse events of included studies.
| Reference | Pharmacological Agent | Mean or Range Dose | Safety Measures | Side Effects/Adverse Event (Mostly Reported) | Withdrawal Due to AEs | 
|---|---|---|---|---|---|
| RUPP., 2005 [35]; Posey et al., 2006 [36]; Scahill et al., 2017 [56] | Placebo | // | survey on side effects filled by parents; physical examination (blood pressure, pulse, body weight, height, temperature) | bradycardia, diarrhea | n. 6 subjects showed intolerable adverse effects with >1 dosage level and dropped out of the test-dose phase. N. 7 exited during the cross-over phases. The highest dose was considered missing for 16 subjects who showed intolerable adverse effects. | 
| MPH IR | ~0.125 mg/kg ×2/day + half dose at 4 P.M. | Sleep difficulties, irritability, emotional outbursts | |||
| ~0.25 mg/kg ×2/day + half dose at 4 P.M. | decreased appetite, sleep difficulties, irritability, and emotional outbursts. | ||||
| ~0.5 mg/kg ×2/day + half dose at 4 P.M. | decreased appetite, sleep difficulties, stomach or abdominal discomfort, irritability, and emotional outbursts. | ||||
| RUPP., 2005 [35] | MPH IR | adjusted on clinical judgment | survey on side effects filled by parents; physical examination (blood pressure, pulse, body weight, height, temperature) | not specified | n. 3 for adverse effects, lack of efficacy, or declined participation (not specified) | 
| Santosh et al., 2006 [38] | MPH | 30 mg/day in 3 divided doses | // | low mood, sleep difficulties, depressive ideas | // | 
| 30 mg/day in 3 divided doses | low mood, sleep difficulties, appetite problems, dysphoria, obsessional behavior | ||||
| MPH | mean dose 31.7 mg/day | NR | nausea, giddiness, headache, sleep difficulties | // | |
| mean dose 33.8 mg/day | sleep difficulties | ||||
| Simonoff et al., 2012 [39] | Placebo | // | Parental interview: sleep difficulties, loss of appetite, sadness, crying spells, anxiety, repetitive behavior, social withdrawal, daydreams, irritable, stomach ache, headache, drowsy, excitability, anger, nightmares, tics, tremors of hands. Medical evaluation: weight, pulse, blood pressure | no significant differences in AE between the EG and CG. The most reported AEs: Sleep difficulties, decreased appetite, weight change | n. 5 participants due to irritability, poor appetite and aggression, nausea and diarrhea, blurred vision, urticaria, and irritability combined with social withdrawal. n. 5 withdrew consent after being randomly assigned to their groups. | 
| MPH i.r. | 0.5 mg/kg ×3/day | ||||
| 1.0 mg/kg ×3/day | |||||
| 1.5 mg/kg ×3/day | |||||
| Pearson et al., 2013; 2020 [40,41] | Placebo | // | Physician desk reference survey on side effects filled by parents | // | // | 
| MPH (ER morning + IR afternoon doses) | LA 0.21 mg/kg + IR 0.14 mg/kg | // | n. 5 patients discontinued Afternoon IR-MPH for the presence of: irritability (n. 5/5), decreased sleep (n. 2/5), increased stereotyped behaviors (n.2/5) | ||
| 0.35 mg/kg + 0.24 mg/kg | // | ||||
| 0.48 mg/kg + 0.27 mg/kg | Decreased appetite, sleep difficulties (Pearson D.A. et al., 2013 [40]); | ||||
| Golubchik et al., 2017 [42] | MPH | 10–54 mg/day | spontaneous self-reports of adverse effects | minor side effects (not specified) | // | 
| Kim et al., 2017 [43] | MPH ER | 0.29 mg/kg | HALP Sleep Questionnaire, RISK-K, C-SSRS | Rebound at the end of the day, aggression, and irritability were significantly more reported for medium dose. Other reported sleep difficulties and decreased appetite. | n. 1 withdrawal at week 4 due to time commitment issues | 
| 0.5 mg/kg | |||||
| Peled et al., 2019 [44] | MPH IR | 10 mg i.r. | // | N.R. | // | 
| Ventura P. et al., 2022 [45] | MPH ER | 0.8 mg/kg | // | Decreased appetite, abdominal discomfort, headache, palpitation, irritability, anxiety, insomnia, hyperfocusing | n. 2 ASD patients interrupted treatment for restlessness, increased stereotyped behaviours. | 
| 0.78 mg/kg | |||||
| Arnold et al., 2006 [46] | Placebo | // | physical examination, weekly vital signs, weight, EKG, spontaneously reported Aes. Clinician-rated 16-item side effects scale (based on side effects abstracted from the package insert) | no significant differences in AE between the EG and CG. Most frequently reported Heart rate, Upset stomach, Nausea/vomiting, Tiredness/fatigue, Racing heart | // | 
| ATX | 1.4 mg/kg/day in split dose (maximum daily dose) | ||||
| Troost et al., 2006 [47] | ATX | 0.5–1.8 mg/kg/day (divided into two doses based on patient-preference) | weekly open-ended questioning, vital signs, physical assessment, routine laboratory tests, EKG. | Decreased appetite, irritability, sleep problems, mean heart rate increased | n. 3 gastrointestinal compliance, n. 2 anxiety and increased aggressivity | 
| Posey et al., 2006 [36] | ATX | 1.2–1.4 mg/kg/day | open-ended question | sedation, irritability, decreased appetite, decrease/increase thirst | n. 1 swallow pills, n.2 for irritability | 
| Harfeterkamp et al., 2012; 2014 [48,49] | ATX | 1.2 mg/kg/day | open-ended questioning | nausea, decreased appetite, sleep difficulties | N. 1 adverse event (fatigue), n. 2 protocol violation, n. 1 no efficacy, n. 1 parents decision | 
| Placebo | // | // | n. 2 protocol violation, n.1 physician decision | ||
| Harfeterkamp et al., 2013 [50] | ATX | 0.8–1.2 mg/kg/day, based on tolerability | open-ended questioning | abdominal pain, decreased appetite, fatigue, headache, nausea | n. 11 adverse events, n. 4 lack of efficacy | 
| Fernandez-Jaen et al., 2013 [51] | ATX | 39.79 mg/day (±12.46) | // | sleep difficulties, gastrointestinal symptoms, irritability | n. 3 for adverse events and no efficacy, N. 2 for no efficacy. | 
| Handen et al. 2015 [52]; Tumuluru et al., 2017 [53] | ATX + PT | 1.35 mg/kg/split twice daily | Side effects checklist (filled by parents), Side effects review (parents and subjects), blood pressure, pulse, height, and weight, EKG, blood work (Tumuluru, E. V., et al., 2017 [53]) | The only significant difference between ATX and placebo was the higher rate of decreased appetite in ATX. Most frequently reported: mood swing, restlessness, upset stomach, decreased appetite, constipation, sleep problems | n. 5 patients discontinued due to behavioral difficulties or irritability | 
| ATX | 1.38 mg/kg/split twice daily | ||||
| Placebo + PT | // | n. 10 on placebo withdrew due to increased behavioral difficulties and physical side effects (e.g., GI issues and insomnia). | |||
| Placebo | // | ||||
| Smith et al., 2016 [54] | ATX | 1.16 mg/kg | this 24 week extension study reported maintenance of responder status in pregresso ATX responders; improvement in adhd symptoms reported in no-placebo responders; no any improvement from acute trial were retrived | decreased appetite, nausea, vomiting, constipation, headache, mood swing, sleep difficulties, fatigue | n. 4 behavioral deterioration, n. 8 side-effects, n. 2 parent request | 
| Placebo | // | // | |||
| ATX + PT | 1.16 mg/kg | decreased appetite, nausea, vomiting, constipation, headache, mood swing, sleep difficulties, fatigue | |||
| Placebo + PT | // | // | |||
| Kilincaslan et al. 2016 [55] | ATX | 1.20 ± 0.11 mg/kg/day | BSERS | uninterested in others, drowsiness, dizziness, increased blood pressure | n.5 adverse events (increased motor activity, talkativeness, irritability, temper outbursts, increased blood pressure) | 
| Scahill et al., 2006 [56]; McCracken et al., 2010 [57] | Guanfacine | 3–5 mg/day | vital signs, height and weight, systematic review of adverse events (Scahill, L et al. 2006 [56]) | Sedation, Irritability, sleep difficulties | NR | 
| Scalhill et al., 2015 [58]; Politte, et al. 2018 [59] | ER Guanfacine | 3–4 mg/day | Blood pressure, pulse, height, weight, 34-item question on AE | Drowsiness, fatigue, decreased appetite, dry mouth, emotional/tearful, irritability, anxiety, sleep difficulties | N.2 subjects due to AEs, N.2 due to lack efficacy | 
| Placebo | // | headache, excessive talking, increased energy | N. 4 subjects due to lack of efficacy | ||
| Jaselskis et al., 1992 [60] | Placebo | // | // | // | // | 
| Clonidine | 0.15–0.20 mg/day | blood pressure, symptom checklist | hypotension, irritability, drowsiness, decreased activity, sleep difficulties | ||
| Lamberti et al., 2016 [61] | Risperidone | 3 mg/day | ECG, blood pressure, pulse, body weight, height, body mass index, abdominal circumference, laboratory test (fasting blood glucose, insulin and lipid levels, prolactin, other general blood tests). AIMS | n.11 increased appetite, n.8 weight gain, n.4 drowsiness; n.3 higher plasma prolactin level | n.1 lack of compliance, n.1 decline to return, n.1 restlessness with akatisia | 
| Aripiprazole | 15 mg/day | n.5 increased appetite, n.4 weight gain, n.4 drowsiness | n.1 lack of compliance, n. 2 decline to return, n. 1 restlessness with sleep difficulties | 
Pharmacological agent/group legend: MPH = Methylphenidate; ATX = atomoxetine; IR = Immediate Release; ER = Extended Release; PT = Parent Training; EKG = Electriocardiogram; EG = Experimental Group; CG = Control Group; RISC-K = Response Impressions and Side Effects Check-list-Kids; C-SSRS = Columbia Suicide Severity Rating Scale; HALP = hyperactivity, attention, learning problems; BSERS = Barkley Side Effect Rating Scale; N.R. = No Reported.
The most reported side effects of MPH were decreased appetite and sleep alterations. Although less frequently, gastrointestinal symptoms and irritability have also been reported. The total withdrawal for side effects was n = 28 (7.2% of a total MPH-treated sample of n = 388 patients). Decreased appetite, sleep difficulties, and gastrointestinal symptoms were also found to be the most frequent side effects in ATX-treated patients. Side effects led to the withdrawal of 45/306 patients treated (14.7%).
The AEs described in GFC trials were irritability in terms of anger outbursts and low frustration tolerance. Moreover, sleep disorders were stated, particularly insomnia, and mid-sleep awakenings were mostly reported. Despite these reported side effects, only 2 patients withdrew due to AEs out of 87 (2.3%).
The clonidine study also reported difficulty sleeping, specifically drowsiness and irritability. The study on antipsychotic treatment reported increased appetite and weight gain as the main concerns. No withdrawals were reported. The safety measures and AEs of all studies are shown in Table 3.
3.4. Non-Pharmacological Intervention
In our systematic review, we identified only four studies that focused on non-pharmacological treatments for children and adolescents with co-occurring ASD and ADHD. These studies explored different types of interventions: the first study explored the effects of 15 animated episodes in enhancing emotion recognition; the second study used an immersive interactive video-game technology intervention on preschoolers; the third evaluated a multidimensional treatment protocol; and the last used a digital cognitive training program.
The first RCT study, conducted by Chan et al. [66], used the Transporters intervention, which consists of 15 animated episodes that patients watch daily for a month. Through stories featuring vehicles and characters with human faces expressing emotions, the preschooler patients would learn to recognize emotions in social interactions. Efficacy was assessed through the Emotion Vocabulary Task and Emotion Recognition Tasks—levels of generalization. Authors reported significant improvement in emotion recognition in both ASD and ASD + ADHD groups vs. control, with a good degree of generalization to novel contexts.
The use of virtual reality-based cognitive-behavioral therapy (VR-CBT) with interactive games projected on the floor to train attention, inhibition, and social skills compared with a structured therapist-led program (LSP) that adapts learning strategies to individual profiles was evaluated in an RCT study by Chu et al. [67]. A total of 27 ADHD + ASD preschooler children underwent a total of 40 sessions (2×/week; 20 min VR-CBT + 1 h LSP per session for 20 weeks), while 26 ADHD + ASD preschooler children completed 40 sessions (two sessions per week; 1 h of LSP per session) in 20 weeks. Through ABC, CARS, ADHD-RS-IV, and Go/No-Go tasks, the author showed a significant reduction in hyperactivity-impulsivity symptoms and total scores. No significant change in inattention symptoms was reported.
Patel et al. [68], in an open-label observational study, examined the effects of a multidimensional intervention implemented over three to six months in a small cohort of ten children aged 4 to 10 years. In addition to standard behavioral and educational therapies, this protocol included a range of interventions to attenuate symptoms through an integrative approach. The intervention included environmental control strategies designed to minimize exposure to potential triggers, the introduction of a biological diet, gastrointestinal support therapies, and antigen injection therapy. It also included nutritional supplementation, chelation therapy, and administration of glutathione and methylcobalamin to support mitochondrial function and neurochemical balance. The effects of this intervention were assessed via a personalized questionnaire completed by parents, teachers, and physicians. They reported a general improvement in social interaction, attention, writing, language, and behavioral regulation. Additionally, laboratory analyses demonstrated a significant reduction in urinary lead levels, suggesting a potential benefit of chelation therapy in reducing heavy metal load. Despite these promising results, the lack of a control group and the small sample size limit the generalizability of the results, highlighting the need for further studies to validate these hypotheses.
The second study, conducted by Yerys et al. [69], was a randomized controlled trial investigating the effectiveness of a cognitive training program based on a multi-tasking video game known as “Project Evo”. This intervention consisted of a series of cognitive, perceptual discrimination, attention, and memory tasks, along with continuous visuo-motor coordination exercises administered via a tablet-based platform. The study included a sample of nineteen children, predominantly male, between the ages of 9 and 13. Participants were randomly assigned to either the experimental or control group, with the intervention group completing twenty traditional training sessions of a multi-tasking digital training session over four weeks. Compared to the control group, children who underwent experimental training showed significant improvements in multiple cognitive and behavioral domains, as reflected in the ADHD-RS index scores. Specifically, improved behavioral regulation, emotional control, and increased cognitive flexibility emerged, along with significant gains in social skills and a reduction in challenging behaviors. For further details on these studies, see Table 4.
Table 4.
Characteristics of non-pharmacological interventions reported in included studies.
| Reference | Study Design | Sample Size | Ethnicity % | Sex Ratio M:F | Age Range in Years (Mean ± SD) | Mean IQ (SD) | Investigated Domains | Outcome Measures | Treatment | N. Sessions (Duration; Frequency) | Therapeutic Effects | 
|---|---|---|---|---|---|---|---|---|---|---|---|
| Chan et al., 2023 [66] | RCT | 95 (26 ASD; 24 ASD + ADHD; 22 ASD control; 23 non-autistic) | 100% Chinese | ASD 12:1 ASD + ADHD 24:0 ASD: 4.5:1 Non autism 10.5:1 | 4–6 (5.11 ± 0.87) | 100–105 (11.71) | Emotion recognition | EVT; ERT1/2/3 | The Transporters—App-based emotion recognition training: daily viewing of animated episodes (15 emotions) using vehicle characters with human faces in social story contexts | 28 days (15–20 min/day; daily for 4 weeks) | Significant improvement in emotion recognition in both ASD and ASD + ADHD groups vs. control; Learning was generalizable to novel situations. | 
| Chu et al., 2023 [67] | RCT | 78 (53 ASD+ ADHD) | 100% Chinese | 3.6:1 | 3–6 (5.02 ± 0.52) | IQ > 70 | Autism symptoms, inattention, hyperactivity, impulsivity, response inhibition | ABC, CARS, ADHD-RS-IV, Go/No-Go task (accuracy and reaction time) | VR-CBT: Virtual reality-based cognitive-behavioral therapy with interactive games projected on the floor to train attention, inhibition and social skills; LSP: Structured therapist-led program that adapts learning strategies to individual profiles. | 40 sessions (2×/week; 20 min VR-CBT + 1 h LSP per session for 20 weeks) | In the ASD + ADHD subgroup, significant reduction in hyperactivity-impulsivity severity and in total scores of ADHD-RS-IV. No significant change in inattention symptoms. | 
| Patel et al., 2007 [68] | open-label observational | 10 | NR | 9:1 | 4–10 (5.9) | NR | motor, social, behavioral, and educational skills, symptoms of autism and ADHD, Urinary metals, and metabolic analysis | motor, behavioral, and educational skills evaluated through an ad hoc questionnaire rated by parents, teachers, and the physician; blood laboratory tests, urinary heavy metals, intradermal testing, organic acid analysis | Multidimensional treatment protocol: (I) environmental control and avoidance of triggers; (II) an organic diet; (III) gastrointestinal support; (IV) antigen injection therapy; (V) nutritional supplements; (VI) chelation therapy; (VI) glutathione and methylcobalamin integration; (VII) usual therapies. | 3–6 months | Parents reported improvement in social interaction, concentration, writing, language, and behaviors. Urinary lead burden decreased significantly | 
| Yerys et al., 2018 [69] | RCT | 11 | 9.1% Black 9.1% Multir.72.7% White 9.1% NR | 11:0 | 9–13 (11.25 ± 1.12) | 98.36 (13.11) | sustained attention, inattention, hyperactivity, impulsivity, Behavior Regulation, Emotion Regulation, Cognitive Regulation, psychomotor speed and accuracy, retaining and updating visuospatial information, social skills, problem behaviors | TOVA, CANTAB, ADHD Rating Scale-IV, BRIEF-2, SSIS. | Project Evo—multi-tasking gameplay: a perceptual discrimination attention/memory task and a continuous visuomotor driving-type task on a tablet. | 20 sessions (25 min; five times a week for 4 weeks) | Significant improvement in ADHD-RS-index, Behavior Regulation, Emotion Regulation, Cognitive Regulation, social skills, and Problem Behaviors. | 
| 8 | 12.5% Multir.87.5% White | 6:2 | 9–13 (11.26 ± 1.88) | 111.12 (16.99) | educational-based intervention: a task that requires children to generate words from an array of letters on a tablet | // | 
TOVA = Test of Variables of Attention; CANTAB = Cambridge Neuropsychological Test Automated Battery; SSIS = Social Skills Improvement System; ADHD Rating Scale-IV, BRIEF-2 = Behavior Regulation Inventory of Executive Function; N.R. = No Reported; EVT = Emotion Vocabulary Task; ERT1/2/3 = Emotion Recognition Tasks—levels of generalization; ABC = Autism Behavior Checklist; Cars = Childhood Autism Rating Scale.
3.5. Pharmacological Intervention
The n = 28 studies that explored pharmacological intervention were mainly performed on MPH (n = 11/28, 39%) and ATX (n = 11/28, 39%). Only a few studies explored other pharmacological agents such as GFC (n = 4/28, 15%), clonidine (n = 1/28, 3.5%), and atypical antipsychotics (n = 1/28, 3.5%). Globally, the sample size ranged from 8 to 174 participants, and the mean duration of the intervention was 19.47 weeks (±5.5 SD; range 4–144 weeks). The main effects reported concerned all ADHD symptoms (hyperactivity, impulsivity, and inattention) by n = 18/22 (81.8%) MPH and ATX studies, n = 3/4 (75%) GFC studies, and clonidine and antipsychotic studies. The prevalent side effects were gastrointestinal disorders (13/28, 46.4%) and sleep disturbances (11/28, 39.3%).
Results of pharmacological interventions were reported based on pharmacological agents.
3.5.1. Methylphenidate
MPH was evaluated by n = 11 studies. In these trials, the range of dose administered was 0.125–1.5 mg/kg/day. Treatment weeks ranged between single doses and 16 weeks, and the age range of the sample was 5–18 years, with a mean of 10.6 ± 2.0 years. See Table 2 for more details.
Nine of 11 studies (81.8%) reported improvements in hyperactivity. The remaining two studies showed benefits in processing speed [44] and emotional dysregulation [45].
Both parents and teachers described the hyperactivity reduction in n = 4/9 (44.4%) [35,37,39,40]. Stereotyped behaviors and social withdrawal were assessed in 6 (18.2%) and 7 (21.2%) MPH studies, respectively. However, only 3 studies (9.1%) reported effects on stereotypies with conflicting results, and none demonstrated a consistent impact on social withdrawal. The RUPP Autism Network conducted the first RCT on MPH [35], and subsequently Posey et al. [36] and Scahill et al. [37]. The authors, in a crossover design trial, tested three different dosages of MPH immediate release (IR): the low dose (0.125 mg/kg ×2/day + half dose at 4 p.m.), the medium dose (0.25 mg/kg ×2/day + half dose at 4 p.m.), and the higher dose (0.5 mg/kg ×2/day + half dose at 4 p.m.). Parents and teachers reported improvements in ADHD symptoms, especially in hyperactivity. Afterward, the same authors reported an open-label extension study [35] that confirms previous results. Many different AEs were reported, especially at medium and high doses, including decreased appetite, difficulty falling asleep, irritability, emotional outbursts, and stomach discomfort. Specifically, six participants discontinued during the test-dose phase and seven during the crossover phase due to intolerable side effects. Additionally, the highest dose was excluded from analysis for 16 subjects who could not tolerate it.
Likewise, Pearson et al. [40] tested three different dosages of MPH IR: in the lowest one (0.21 mg/kg + 0.14 mg/kg), improvements in hyperactivity and impulsivity were recorded only by the teachers; with the medium (0.35 mg/kg + 0.24 mg/kg) and high doses (0.48 mg/kg + 0.27 mg/kg), the same effects were also noticed by parents. At the higher dose, clinicians reported the most dramatic improvement, with amelioration in oppositional behaviors, irritability, social skills, and inappropriate speech noticed by both parents and teachers. The same authors, in a successive paper [41], reported significant improvements in sustained and selective attention and inhibition/impulsivity domains, measured by standardized tests, with linear dose/response effects for the dose range studied. Furthermore, n = 5 patients discontinued afternoon IR-MPH due to irritability (n = 5/5), decreased sleep (n = 2/5), and increased stereotyped behaviors (n = 2/5). Additionally, AEs were reported only in the highest dose, mainly loss of appetite and sleep problems [40].
Also, three different doses of MPH IR (low 0.5 mg/kg ×3/day, medium 1.0 mg/kg ×3/day, and higher 1.5 mg/kg ×3/day) were tested by Simonoff et al. [39]. The authors confirmed improvement in hyperactivity reported by both parents and teachers at all three doses. The main reported AEs were sleep difficulties, loss of appetite, and weight change, with n = 5 withdrawals due to adverse events. Among the nine studies that reported improvement in the hyperactivity domain, the study by Santosh and coll. (within-subjects study) [38], using doses of MPH IR ranging between 31.7 mg/day and 33.8 mg/day, reported enhancement in oppositional and aggressive behaviors. Moreover, giddiness, gastrointestinal symptoms, and sleep difficulties [38] were reported. No withdrawal was described. In a successive study, Golubchik et al. (open-label design) [42], using a range of doses of 10–54 mg/day of MPH IR, reported amelioration of school-related anxiety. A within-subjects design study reported no significant improvement in ADHD core symptoms on MPH IR. The authors [44] measured the efficacy of a single dose of 10 mg MPH IR on neuropsychological functions. In particular, they found improvement only in processing speed among the assessed executive functions tested after MPH IR single dose.
Only two studies used MPH extended-release (ER). Kim et al. [43] confirmed improvement in ADHD core symptoms reported by parents in both doses (0.29 mg/kg, 0.5 mg/kg), with greater effects at the highest dose. Additionally, the authors reported reduced stereotyped behaviors, inappropriate speech, social withdrawal, and irritability for medium doses. However, rebound at the end of the day, aggression, and irritability were significantly more reported for medium doses. Decreased appetite and sleep difficulties were also reported at all doses.
Finally, Ventura et al. [45], in a naturalistic study, report a significant reduction in emotion dysregulation in children and adolescents treated with MPH ER 0.8 mg/kg for 12 weeks. Side effects were reported, such as loss of appetite, abdominal discomfort, headache, irritability, anxiety, and palpitation. Two participants interrupted treatment for restlessness and increased stereotyped behaviors.
3.5.2. Atomoxetine
A total of 11 studies investigated ATX, with doses ranging from 0.5 to 1.8 mg/kg/day and treatment durations between 6 and 24 weeks (average: 14.8 weeks). The sample included children aged 6–17 years (mean: 8.2 years), with a majority being male. Further details are shown in Table 2.
All the studies reported improvement in ADHD core symptoms for ATX treatment. In five studies, teacher ratings confirmed effects in the school setting [36,48,49,51,52].
Four studies reported additional benefits on ASD-related symptoms: social withdrawal improved in three studies and stereotyped behaviors in two.
Posey et al. [36] observed improvements in irritability, social withdrawal, stereotyped behaviors, and inappropriate speech at doses of 1.2–1.4 mg/kg/day, with decreased appetite and sleep problems. according to parents’ reports. Similarly, Harfeterkamp et al. [49] confirmed benefits on stereotyped behaviors and inappropriate speech but also noted sedation, irritability, and thirst alterations, with one withdrawal due to fatigue.
Irritability was also reported by Fernandez [51], in association with somnolence and gastrointestinal symptoms, using an ATX dose of 39.79 mg/day (±12.46). A following open-label extension was conducted by Harfeterkamp [50]. The study confirmed previous results using ATX doses adjusted according to the patient’s tolerability within a range of 0.8–1.2 mg/kg/day. AEs additionally reported gastrointestinal symptoms, fatigue, and headache.
Another double-blind RCT [52] compared four types of intervention for ADHD and ASD symptoms: ATX (1.35 mg/kg/twice a day), ATX (1.38 mg/kg/twice a day) combined with Parent Training (PT), only PT, and placebo. After four weeks of treatment, ADHD symptoms did not improve, only in the placebo group. As far as the AEs, the ATX group, compared to only the PT and placebo groups, showed appetite decrease [53]. In the subsequent open-label extension study, Smith et al. [54] confirmed the efficacy of 1.16 mg/kg doses of ATX (with/without PT) on ADHD core symptoms and home-challenging behaviors. The AEs experienced were appetite decrease, gastrointestinal symptoms, headache, sleep difficulties, and fatigue. Furthermore, two pilot studies described ATX efficacy on hyperactivity and inattention/impulsivity. The first [47] is a pilot within-subject study that reported several AEs (decreased appetite, irritability, sleep problems, and mean heart rate increase) with an ATX dose of 1.19 mg/kg/day. Conversely, the double-blind, placebo-controlled crossover pilot of Arnold et al. [46] reported no significant difference among ATX and placebo groups in AEs. However, the authors included only subjects with a mental age ≥ 18 months. Furthermore, n = 6/16 subjects were taking concomitant psychotropic drugs during the study. Among these six subjects, n = 3 were assumed on add-on Risperidone (1 mg/die, 2.5 mg/die, and 3 mg/die, respectively). N = 1 was taking Aripiprazole 10 mg and Divalproex 250 mg/die, and another one assumed Sertraline 12.5 mg/die; Ziprasidone 60 mg/die; and Donepezil 5 mg/die. Finally, 1 subject was taking Buspirone 5 mg/die and Paroxetine 30 mg/die. Finally, only one study focused specifically on patients with intellectual disability. Kilincaslan et al. [55], in a retrospective study on individuals with ADHD and low-functioning ASD (age range 6–17 years), described improvements in ADHD core symptoms and social withdrawal; they also reported drowsiness, dizziness, and increased blood pressure as AEs.
3.5.3. Guanfacina
Four trials evaluated the effects and tolerability of GFC. In these studies, the range of doses administered was 3–5 mg/day. The treatment duration was eight weeks. The age range of the sample was 5–14 years, with a mean of 8.75 ± 0.4 years, and male gender was prevalent. See Table 2 for other details.
A prospective open-label trial was conducted by Scahill [56] and McCracken [57]. With an 8-week treatment of GFC IR 3–5 mg/day, improvement in hyperactivity and attention was reported by parents and teachers; moreover, parents described reductions in irritability, social withdrawal, and stereotyped behavior. Additionally, irritability, sedation, and sleep disturbance have been reported as AEs. Furthermore, GFC ER was tested by RTC of Politte [59] and Scahill [58]; ADHD core symptoms, oppositional, and repetitive behaviors seem to improve with 3–4 mg/day GFC ER. Drowsiness, fatigue, decreased appetite, dry mouth, emotionality/tearfulness, irritability, anxiety, and mid-sleep awakening were reported, and n = 2 subjects withdrew due to AEs.
3.5.4. Other Pharmacological Interventions
A very small study [60] explored the effect of clonidine on a sample of eight subjects, all males (age range 5.0–13.4; average age 8.1 years); the dose administered was 0.15–0.20 mg/day; modest effects on irritability and hyperactivity were described in the short-term treatment, as well as stereotyped behaviors, and no AEs were reported. Finally, a pilot, open-label, randomized, controlled trial on risperidone (RIS) and aripiprazole (ARI) [61] was conducted on a sample of 44 children (RIS n = 22, M:F = 9:2; mean 7.8 years; ARI n = 22, M:F = 9:3; mean 8.4 years). The administered doses were 3 mg/day for RIS and 15 mg/day for ARI. Both drugs improved ADHD symptoms in autistic children with comparable levels of effectiveness. As concerns tolerability, increased appetite occurred in 22.8% of participants with ARI and 50% of those taking RIS. Weight gain was observed in 18.2% of the ARI group and 36.4% of the RIS group. The authors concluded that a slightly better tolerability profile of ARI. Details in Table 2.
3.6. Response Moderators
Of the total 32 studies included in our review, only 10 specifically investigated potential moderating agents that could influence treatment outcomes. Of these, 6/10 studies were inherent in MPH, 3/10 studies were inherent in ATX, and only 1/10 were in GFC.
In the subset of studies using MPH, 6 of 11 (54.5%) assessed whether factors such as age [35,36,43], sex [41], IQ level [35,36,39], body weight [35,36], or diagnostic category [35,36,39,44] moderated treatment response. Five of these studies found elements acting as modulators on treatment response. In contrast to these studies, Peled et al. [44] provided unique insight by reporting that the co-occurrence of ADHD and ASD negatively impacted treatment response. Specifically, children diagnosed exclusively with ADHD showed significant improvements in attention, processing speed, impulsivity, and hyperactivity following MPH treatment. In contrast, among children with comorbid ADHD and ASD, MPH was associated with improvements in processing speed only, without notable effects on attention, impulsivity, or hyperactivity.
Similarly, among the ATX studies, only 3 out of 11 (27.7%) examined diagnosis, age, IQ, and body weight [48,52,54] as potential moderators of treatment response. Notably, none of these studies identified a moderator whose influence was statistically significant on treatment outcomes.
Furthermore, the genetic influence on treatment response was evaluated in only one study. Specifically, McCracken et al. [57] investigated the role of MDR1 gene polymorphisms as moderators of response to GFC treatment. This study suggested that a single-nucleotide polymorphism variant of the MDR1 gene may influence the drug’s efficacy, mainly concerning hyperactive-impulsive symptoms. Particularly, subjects homozygous for the minor allele T of the C34535T MDR1 variant (T=T) showed an improvement reduced by three times compared with other genotypes (C=T and C=C) (Table 5).
Table 5.
Quality assessment of included studies.
| Publication | Exposed Representation | Ascertainment of Exposure | Selection of the Non-Exposed | Outcome Was Not Present at Start of Study | Comparability of Cohorts | Assessment of Outcome | Sufficient Follow-Up Time | Adequacy of Follow-Up of Cohorts | Total | 
|---|---|---|---|---|---|---|---|---|---|
| Posey et al., 2006 [36] (A) | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 
| Santosh et al., 2006 [38] (M) | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 5 | 
| Scahill et al., 2006 [56] (G) | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 
| Troost et al., 2006 [47] (A) | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 
| Patel et al., 2007 [68] (NP) | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 4 | 
| McCracken et al., 2010 [57] (G) | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 
| Fernández-Jaén et al., 2013 [51] (A) | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 
| Kilincaslan et al., 2016 [55] (A) | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 
| Lamberti et al.,2016 [61] (R) | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 
| Golubchik et al.,2017 [42] (M) | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 
| Yerys et al., 2018 [69] (NP) | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 
| Peled et al., 2019 [44] (M) | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 4 | 
| Ventura et al., 2022 [45] (M) | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 
A = Atomoxetine; M = Methylphenidate; G = Guanfacine, R = Risperidone; NP = non-pharmacological.
3.7. Quality Assessment
According to the AHRQ criteria, the quality assessment of the randomized controlled trials (RCTs) included in this review revealed that four studies were classified as having “fair” methodological quality, while only two reached the “good” quality threshold. Random sequence generation was explicitly described in eight studies [37,39,48,49,52,59,60,67], and allocation concealment procedures were reported in 11 trials [37,39,40,41,43,48,49,52,60,66,67]. Sample size estimation through power analysis was addressed in all RCTs, with two studies offering particularly detailed descriptions [37,39]. All trials adopted a double-blind design, except for two [66,67]. Regarding attrition bias, five RCTs were assessed as having a low risk in this domain [37,39,48,49,59], whereas the remaining studies did not provide sufficient data to make a definitive judgment. Moreover, eight studies gave a comprehensive account of patient flow, including the number screened, exclusions with justifications, and losses to follow-up [37,39,40,48,49,52,66,67]. However, only 12 RCTs included a flow diagram illustrating the participant selection process [37,39,40,41,43,48,49,50,52,54,66,67]. Trial protocol registration in a public database, as recommended by the CONSORT 2010 statement [70], was reported in all but two studies [66,67].
For non-randomized studies evaluated using the Newcastle-Ottawa Scale (NOS), five were classified as “poor quality” and eight as “fair quality”. Among these, all but two were prospective observational studies; the remaining two were retrospective observational analyses [38,55]. The exposure cohort was considered representative in eleven studies, and the methods of exposure assessment—relying on structured interviews or objective sources—were adequately reported in the same number of studies. However, only four studies detailed the criteria used to exclude individuals from the unexposed cohorts. Outcome assessments for variables not present at baseline were clearly described in eleven studies. Follow-up duration ranged from three to six months and was deemed appropriate in seven studies. Notably, none of the included studies achieved comparability between cohorts through design or statistical adjustment for relevant confounders. Overall, the non-randomized studies demonstrated a consistently high risk of bias. Risk of bias assessments across studies are summarized in Table 6. Agreement between the two independent reviewers (GL, AA) was high.
Table 6.
Risk domains for each included study.
| Publication | Random Sequence Generation | Allocation Concealment | Selective Reporting | Other Bias | Blinding of Participants and Personnel | Blinding of Outcome Assessment | Incomplete Outcome Data | AHRQ Standard | 
|---|---|---|---|---|---|---|---|---|
| Jaselskis et al.,1992 [60] (C) | Low | Low | Unclear | Unclear | Low | Low | Unclear | Poor | 
| Arnold et al., 2006 [46] (A) | High | High | Unclear | Unclear | Low | Unclear | Low | Poor | 
| Handen et al., 2006 [52] (A) | Low | Low | Unclear | Unclear | Low | Low | Unclear | Fair | 
| Posey et al., 2007 [36] (M) | High | High | Unclear | Unclear | Low | Low | Low | Poor | 
| Harfterkamp et al., 2012 [48] (A) | Low | Low | Low | Unclear | Low | Low | Unclear | Fair | 
| Simonoff et al.,2012 [39] (M) | Low | Low | Low | Low | Low | Low | Low | Good | 
| Harfterkamp et al., 2013 [50] (A) | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Low | Poor | 
| Pearson et al., 2013 [40] (M) | Unclear | Low | Unclear | Low | Low | Low | Low | Fair | 
| Harfterkamp et al., 2014 [49] (A) | Low | Low | Low | Unclear | Low | Unclear | Low | Fair | 
| Scahill et al., 2015 [58] (G) | Low | Low | Low | Low | Low | Low | Low | Good | 
| Kim et al., 2017 [43] (M) | Unclear | Low | Unclear | Unclear | Low | Unclear | Low | Poor | 
| Scahill et al., 2017 [37] (M) | Unclear | Unclear | Unclear | Unclear | Low | Low | Low | Poor | 
| Smith et al., 2017 [54] (A) | Unclear | Unclear | Unclear | Unclear | Low | Unclear | Low | Poor | 
| Tumuluru et al., 2017 [53] (A) | High | High | Unclear | Unclear | Low | Unclear | Unclear | Poor | 
| Politte et al., 2018 [59] (G) | Low | Unclear | Low | Unclear | Low | Unclear | Unclear | Poor | 
| Pearson et al., 2020 [41] (M) | Unclear | Low | Unclear | Unclear | Low | Low | Low | Poor | 
| Chu et al.,2023 [67] (NP) | Low | Low | Unclear | Unclear | High | High | Low | Poor | 
| Chan et al.2024 [66] (NP) | Unclear | Low | Unclear | Unclear | High | High | Low | Poor | 
A = Atomoxetine; C = Clonidine; M = Methylphenidate; G = Guanfacine, R = Risperidone; NP = non-pharmacological.
4. Discussion
This review examined the current literature aimed at providing evidence on the reported outcomes and safety of the treatments for children and adolescents with co-occurring ASD and ADHD.
To our knowledge, our study represents the most comprehensive synthesis to date of interventions targeting this comorbid population. We focused on several clinically relevant variables: sample characteristics, outcome measures, reported outcomes on core symptoms, adverse events, and tolerability. Furthermore, we also investigated important effect modifiers in this neglected patient population.
Indeed, ADHD and ASD are neurodevelopmental conditions that often coexist and share neurocognitive pathways [71,72]. In both disorders, it is possible to find attention deficits [73,74] and behavioral problems, such as impulsivity and hyperactivity [73]. Additionally, children with ASD and ADHD often have deficits in social skills, including difficulties in interpreting social cues, sustaining conversations, and forming peer relationships [75,76]. Despite these overlaps, these disorders have often been studied separately. The main reason is that dual/concomitant diagnoses of ADHD and ASD were not formally allowed until the revision of the DSM in 2013, or DSM-5 [1]. Consequently, recommended treatments for ASD and ADHD have been separately studied. Furthermore, the substantial heterogeneity among individuals with both disorders and the lack of pharmacological treatments with direct effects on ASD core symptoms have further slowed down research in this field [23].
Although stimulant medications are commonly prescribed to children with co-occurring ASD and ADHD, relatively few controlled studies have evaluated their behavioral and cognitive effects in this population [41]. Future research should include both individuals with single diagnoses and those with dual diagnoses to better reflect real-world clinical populations. The heterogeneity of samples in terms of age, IQ, and ethnicity may affect the generalizability of the findings. In terms of sample size, this parameter varies significantly (from 8 to 128), which may impact the statistical robustness of the findings. Moreover, the heterogeneity in sample sizes could affect the study’s power and the ability to draw generalizable conclusions. Participants’ ages range from four to 18 years (mean age 9.5 ± 1.7 years), suggesting a focus on children rather than adolescents. Additionally, the majority (63.33%) of participants are White, potentially limiting ethnic representativeness. A male predominance was observed, consistent with ADHD and ASD prevalence but raising concerns about the representation of females. Only 37.5% of studies involved samples with IQ > 70, 12.5% with IQ < 70, and 43.7% included mixed IQ samples. The limited number of studies on children with an IQ < 70 suggests a gap in research on populations with intellectual disabilities. Two studies did not report participants’ IQ, highlighting a potential methodological limitation.
Outcome measures were highly heterogeneous, limiting comparability and preventing meta-analyses. Most studies relied on parent-reported questionnaires, particularly the Aberrant Behavior Checklist (46.9%), the Conners’ Parent Rating Scale (31.2%), and the SNAP-IV (21.9%). While informative, parent reports are susceptible to bias (e.g., subjective perception, recall bias). Clinical observation was included in most studies, with the CGI scale being the most frequently used measure (59.4%). Although useful for assessing global improvement, CGI may lack the specificity of more detailed behavioral tools.
On the effectiveness of ADHD core symptoms, all medications demonstrated greater short-term efficacy than Specifically, among the drugs with the largest number of included studies, 81.8% of MPH studies and 100% of ATX studies reported improvement in the hyperactivity domain and attention impairment. Regarding ASD-specific symptoms, only a few studies have evaluated and shown a positive effect on stereotyped behaviors and social withdrawal. Most evidence is regarding a decrease in social withdrawal (3/4 studies) and stereotyped behaviors (2/4). On the other hand, only 2/7 studies on MPH reported a decrease in social withdrawal, and 1/7 in stereotyped behaviors.
In terms of tolerability, MPH showed a lower rate of treatment discontinuation due to adverse events (7.2%) compared to ATX (14.7%) and guanfacine (2.3%). However, these differences should be interpreted in light of the methodological variability across studies, particularly in how adverse events were reported and assessed. Appetite, sleep difficulties, and gastrointestinal symptoms were the most frequently reported adverse events, all of which ended after discontinuation of the drug.
Comparative tolerability between MPH and ATX remains an important issue. A notable finding, which requires confirmation in head-to-head RCTs, is the similar effectiveness of MPH and ATX for core ADHD symptoms. However, variation in dosing and outcome measures across studies limits the generalizability of this observation, highlighting the need for larger-sample, structured RCTs directly comparing these two pharmacological treatments.
Overall, MPH appears to be an effective first-line treatment for ADHD symptoms in children with ASD, despite a somewhat lower response rate (50–60%) compared to ADHD-only populations (75%) [35]. Symptom reduction is typically more pronounced for hyperactivity-impulsivity than for inattention [37]. Although limited, some evidence suggests that MPH may also improve emotional regulation, a frequent challenge in both ASD and ADHD populations [45].
MPH has demonstrated a favorable safety profile, with no reported exacerbation of repetitive or oppositional behaviors. While a slight increase in seizure incidence has been noted during the initial treatment phase [77], overall seizure risk remains low [36]. ATX represents a viable non-stimulant alternative, especially in cases of comorbid conditions such as anxiety, tics, or emotional dysregulation [78].
It may also benefit core ASD symptoms, including stereotypies and deficits in cognitive flexibility, particularly in higher-functioning individuals or those with poor verbal skills [52]. Nevertheless, its impact on global functioning remains unclear [36,49,77,78,79,80]. Comparing the effectiveness of MPH and ATX is a challenge because of the heterogeneity of the outcome measures [81]. Another critical factor influencing treatment outcomes is the variability in the dosing of MPH and ATX across different studies. Studies that fell outside these recommended dosing ranges might have contributed to the observed variability in treatment responses and adverse events. Future research should aim for more standardized dosing protocols to enhance the comparability of results and provide clearer guidance for clinical practice. Overall, a reasonable recommendation could be the use of MPH as the first choice and of ATX if coexisting symptoms, such as tics, mania, and suicidal ideation, exacerbate the core symptoms [82,83,84,85].
Clonidine and guanfacine may be considered second-line treatments, particularly in children with irritability, mood instability, or partial responses to first-line agents [23,27,60]. While less frequently studied, they have shown promise in managing a range of maladaptive behaviors.
Antipsychotics, especially second-generation agents like risperidone (RIS) and aripiprazole (ARI), are widely used in clinical practice to address irritability and aggression in children with ASD [86,87]. However, due to the lack of robust evidence on their effects on ADHD symptoms, their use should be limited to specific therapeutic goals (e.g., severe aggression) rather than core ADHD management.
Based on these findings, we propose the following clinical considerations. While further research is needed, current evidence supports a stepwise clinical approach for the management of children and adolescents with co-occurring ASD and ADHD.
MPH may represent a first-line treatment, particularly in the absence of contraindications and when hyperactivity-impulsivity predominates. This recommendation is supported by the largest number of studies included in this review and consistent evidence of therapeutic effect.
ATX can be considered in cases involving emotional dysregulation, anxiety, poor sleep, or when stimulants are not well tolerated. Evidence supports its clinical benefit in both ADHD core symptoms and, in some cases, ASD-related symptoms such as social withdrawal and stereotyped behavior.
Guanfacine and clonidine are viable second-line options, especially in children with irritability, mood instability, or partial response to first-line treatments.
SGAs should not be used to target ADHD or ASD core symptoms but may be warranted in cases of severe irritability or aggression, particularly in individuals with ASD. Overall, treatment should be individualized based on the symptom profile, comorbidities, tolerability, and developmental level.
Despite the clinical importance of non-pharmacological interventions, only four studies focused on these approaches in individuals with ASD and ADHD, underscoring a major gap in the literature.
Although behavioral therapy, parent training, cognitive training, and social skills interventions are well-established in ADHD or ASD populations separately, their effects in comorbid cases remain largely unexplored [26,76,88,89,90]. Three studies evaluated the employ of technology-assisted interventions, which show promise for enhancing cognitive and behavioral outcomes. However, further research is needed to determine their long-term effectiveness and their applicability. Overall, although the studies provide preliminary evidence supporting the potential benefits of non-pharmacological interventions in children with ASD and ADHD, the limited sample size and methodological constraints underscore the need for larger studies to establish the therapeutic benefit and broader applicability of these treatments.
The lack of evidence limits clinicians’ ability to provide comprehensive, evidence-based recommendations for patients who may not tolerate or benefit from pharmacotherapy. Addressing this gap is critical to providing a more comprehensive and individualized treatment approach, ensuring that children with ADHD and ASD receive interventions that go beyond medication and support their broader cognitive, emotional, and social development.
Finally, treatment response moderators were investigated in only 10 out of 32 included studies.
Most analyses focused on MPH (6 studies) and ATX (3 studies), with only one study investigating guanfacine, highlighting the need for broader analysis across different pharmacological treatments. Specifically, significant moderators were identified in five of six MPH studies, suggesting that individual characteristics may affect treatment outcomes. No significant moderators were identified in ATX studies, raising questions about either its broader applicability or the need for more refined analyses. Finally, only one study [46] explored genetic moderators, specifically the MDR1 gene polymorphism in guanfacine treatment, suggesting that the MDR1 C34535T polymorphism may impact treatment response. This highlights the potential role of pharmacogenetics in ADHD and ASD treatment, which remains underexplored.
5. Limitations
This review has several limitations. Despite our efforts to include all available studies on the topic, we cannot exclude that there is some missing information due to the exclusion of potentially relevant studies in languages other than English. In addition, a potential publication bias cannot be excluded, especially considering the scarcity of non-pharmacological studies and the likelihood that negative or null results remain unpublished. Due to the heterogeneity of study designs and outcomes, funnel plots could not be constructed to formally assess this bias.
Moreover, the representation of specific subgroups (e.g., age, gender, level of intellectual functioning) varies across studies, potentially limiting the generalizability of our findings to all individuals with ASD and ADHD. Also, the diverse assessment methods used in the included studies (e.g., questionnaires, clinical interviews, direct observations) could be a source of biases in detecting and characterizing the ADHD-ASD phenotype. Finally, the literature related to non-pharmacological interventions in individuals with ASD + ADHD remains very limited and underdeveloped, making it difficult to draw definitive conclusions.
6. Future Direction
The overlap between ADHD and ASD often leads to worse clinical outcomes and reduced quality of life [91], highlighting the importance of interventions, not only in effectively addressing symptomatology but also in prioritizing safety and tolerability [92]. A novel and increasingly relevant approach to managing ADHD symptoms in individuals with ASD challenges the traditional concept of comorbidity, instead proposing that attentional deficits be recognized as intrinsic to the clinical profile of ASD [93]. This reconceptualization further reinforces the need to develop treatment algorithms that appropriately address ADHD symptoms in the ASD population. Future studies should prioritize larger and more demographically balanced sample sizes to improve statistical power and enhance the generalizability of findings. Greater inclusion of ethnically different populations is essential to mitigate potential sampling biases and ensure broader applicability of the results.
Moreover, there is a pressing need for studies focusing specifically on adolescents, a group that is currently underrepresented despite being at a critical stage of neurodevelopment, to better understand symptoms and treatment responses in that specific developmental window. Longitudinal design studies are particularly needed to assess long-term treatment effects and to elucidate developmental trajectories over time. Populations with intellectual disabilities remain notably underrepresented in the literature and deserve greater research attention. Furthermore, a more detailed stratification of participants based on cognitive abilities and symptom severity could lead to more tailored treatment approaches.
Regarding outcome measures, the current reliance on heterogeneous assessment tools likely contributes to variability in reported treatment effects. Therefore, future studies should aim for greater methodological consistency in assessment tools, ideally by employing standardized instruments that integrate both structured clinical observations and validated questionnaires. The combined use of objective and subjective measures could enhance the reliability and validity of symptom Non-pharmacological interventions are recognized as essential components of comprehensive care for ASD and ADHD populations. Additionally, nutraceuticals and dietary supplements have shown potential in supporting symptom management in these conditions [94]. However, the current evidence base for their efficacy in comorbid populations remains limited. There is a clear need to expand research in this area to determine which treatment approaches are most effective and beneficial for specific patient profiles.
Finally, RCT studies for directly comparing ATX and MPH are needed to clarify their relative efficacy and tolerability, particularly in patients with co-occurring ADHD and ASD versus those with a single diagnosis. The current paucity of studies examining moderators of treatment response limits progress toward personalized medicine. Future investigations should prioritize the identification of such moderators, especially genetic factors that may influence drug metabolism and treatment efficacy. Finally, elucidating the shared pathophysiological mechanisms between ADHD and ASD may facilitate the design of more targeted interventions. Addressing these research gaps is essential for advancing clinical practice and improving outcomes for individuals with co-occurring ASD and ADHD.
Abbreviations
The following abbreviations are used in this manuscript:
| ADHD | Attention-deficit/hyperactivity Disorder | 
| ASD | Autism Spectrum Disorder | 
| MPH | Methylphenidate | 
| ATX | Atomoxetine | 
| GFC | Guanfacina | 
| DSM | Diagnostic and Statistical Manual of Mental Disorders | 
| RCTs | Randomized Controlled Studies | 
| ICD | International Classification of Diseases | 
| IQ | Intellectual Quotient | 
| PRISMA | Preferred Reporting Items for Systematic reviews and Meta-Analyses | 
| NOS | Newcastle-Ottawa Scale | 
| AHRQ | Agency for Healthcare Research and Quality | 
| ABC | Aberrant Behavior Checklist | 
| CPRS | Conners Parent Rating Scales–Revised | 
| SNAPIV | Swanson, Noland, and Pelham Scale IV | 
| CGI | Clinical Global Improvement | 
| AE | Adverse Events | 
| VR-CBT | Virtual reality-based cognitive-behavioral therapy | 
| LSP | Therapist-led program | 
| PT | Parent Training | 
| RIS | Risperidone | 
| ARI | Aripiprazole | 
| CONSORT | Consolidated Standards of Reporting Trials | 
| ED | Emotion Dysregulation | 
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm14114000/s1, Supplement S1: References for included studies; Table S1: PRISMA 2020 statement and checklist; Supplement S2: Literature search. This supplementary material has been provided by the authors to give readers additional information about their work.
Author Contributions
The systematic review of the literature was done by C.D.D., A.P. and M.D.C. Data Collection was made by A.A., G.L., E.P., C.S., C.D.D., A.G. and F.C. edited the manuscript. Data interpretation and revision of the manuscript were done by C.D.D., A.Q., A.G. and F.C. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
Funding Statement
This study was supported by the Ministry of Health, Italy, Current Research Funds 2025.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Publishing; Arlington, VA, USA: 2013. [Google Scholar]
- 2.Bougeard C., Picarel-Blanchot F., Schmid R., Campbell R., Buitelaar J. Prevalence of Autism Spectrum Disorder and Co-Morbidities in Children and Adolescents: A Systematic Literature Review. Focus (Am. Psychiatr. Publ.) 2024;22:212–228. doi: 10.1176/appi.focus.24022005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kenny L., Hattersley C., Molins B., Buckley C., Povey C., Pellicano E. Which terms should be used to describe autism? Perspectives from the UK autism community. Autism. 2016;20:442–462. doi: 10.1177/1362361315588200. [DOI] [PubMed] [Google Scholar]
- 4.Lai M.-C., Lombardo M.V., Ruigrok A.N., Chakrabarti B., Auyeung B., Szatmari P., Happé F., Baron-Cohen S., MRC AIMS Consortium Quantifying and exploring camouflaging in men and women with autism. Autism. 2017;21:690–702. doi: 10.1177/1362361316671012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lai M.C., Baron-Cohen S. Identifying the lost generation of adults with autism spectrum conditions. Lancet Psychiatry. 2015;2:1013–1027. doi: 10.1016/S2215-0366(15)00277-1. [DOI] [PubMed] [Google Scholar]
- 6.Fucà E., Guerrera S., Valeri G., Casula L., Novello R.L., Menghini D., Vicari S. Psychiatric comorbidities in children and adolescents with high-functioning autism spectrum disorder: A study on prevalence, distribution and clinical features in an Italian sample. J. Clin. Med. 2023;12:677. doi: 10.3390/jcm12020677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fuld S. Autism spectrum disorder: The impact of stressful and traumatic life events and implications for clinical practice. Clin. Soc. Work. J. 2018;46:210–219. doi: 10.1007/s10615-018-0649-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Visser J.C., Rommelse N., Greven C., Buitelaar J.K. Autism spectrum disorder and attention-deficit/hyperactivity disorder in early childhood: A review of the current evidence and future directions. Child. Adolesc. Psychiatry Ment. Health. 2016;10:17. [Google Scholar]
- 9.Leitner Y. The co-occurrence of autism and attention deficit hyperactivity disorder in children—What do we know? Front. Hum. Neurosci. 2014;8:268. doi: 10.3389/fnhum.2014.00268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Antshel K.M., Zhang-James Y., Wagner K.E., Ledesma A., Faraone S.V. An update on the comorbidity of ADHD and ASD: A focus on clinical management. Expert Rev. Neurother. 2016;16:279–293. doi: 10.1586/14737175.2016.1146591. [DOI] [PubMed] [Google Scholar]
- 11.Sokolova E., Oerlemans A.M., Rommelse N.N., Groot P., Hartman C.A., Glennon J.C., Claassen T., Heskes T., Buitelaar J.K. A causal and mediation analysis of the comorbidity between attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) J. Autism Dev. Disord. 2017;47:1595–1604. doi: 10.1007/s10803-017-3083-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Stergiakouli E., Thapar A., Davey Smith G. Association of acetaminophen use during pregnancy with behavioral problems in childhood: Evidence against confounding. JAMA Pediatr. 2016;170:964–970. doi: 10.1001/jamapediatrics.2016.1775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mahendiran T., Brian J., Dupuis A., Muhe N., Wong P.Y., Iaboni A., Anagnostou E. Meta-analysis of sex differences in social and communication function in children with autism spectrum disorder and attention-deficit/hyperactivity disorder. Front. Psychiatry. 2019;10:804. doi: 10.3389/fpsyt.2019.00804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Polanczyk G., de Lima M.S., Horta B.L., Biederman J., Rohde L.A. The worldwide prevalence of ADHD: A systematic review and metaregression analysis. Am. J. Psychiatry. 2007;164:942–948. doi: 10.1176/ajp.2007.164.6.942. [DOI] [PubMed] [Google Scholar]
- 15.Gallo E.F., Posner J. Moving towards causality in attention-deficit hyperactivity disorder: Overview of neural and genetic mechanisms. Lancet Psychiatry. 2016;3:555–567. doi: 10.1016/S2215-0366(16)00096-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Simon V., Czobor P., Bálint S., Mészáros Á., Bitter I. Prevalence and correlates of adult attention-deficit hyperactivity disorder: Meta-analysis. Br. J. Psychiatry. 2009;194:204–211. doi: 10.1192/bjp.bp.107.048827. [DOI] [PubMed] [Google Scholar]
- 17.Posner J., Polanczyk G.V., Sonuga-Barke E.J. Attention-deficit hyperactivity disorder. Lancet. 2020;395:450–462. doi: 10.1016/S0140-6736(19)33004-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Schwörer M.C., Reinelt T., Petermann F., Petermann U. Influence of executive functions on the self-reported health-related quality of life of children with ADHD. Qual. Life Res. 2020;29:1183–1192. doi: 10.1007/s11136-019-02394-4. [DOI] [PubMed] [Google Scholar]
- 19.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. The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder. Neurosci. Biobehav. Rev. 2021;128:789–818. doi: 10.1016/j.neubiorev.2021.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Cortese S., Adamo N., Del Giovane C., Mohr-Jensen C., Hayes A.J., Carucci S., Atkinson L.Z., Tessari L., Banaschewski T., Coghill D., et al. Comparative efficacy and tolerability of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: A systematic review and network meta-analysis. Lancet Psychiatry. 2018;5:727–738. doi: 10.1016/S2215-0366(18)30269-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Murray M.L., Hsia Y., Glaser K., Simonoff E., Murphy D.G., Asherson P.J., Eklund H., Wong I.C. Pharmacological treatments prescribed to people with autism spectrum disorder (ASD) in primary health care. Psychopharmacology. 2014;231:1011–1021. doi: 10.1007/s00213-013-3140-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Aman M.G., Langworthy K.S. Pharmacotherapy for hyperactivity in children with autism and other pervasive developmental disorders. J. Autism Dev. Disord. 2000;30:451–459. doi: 10.1023/A:1005559725475. [DOI] [PubMed] [Google Scholar]
- 23.Persico A.M., Postorino V., Simmaco M., Fatta L.M., Vanacore N., Armando M., uratolo P., Vicari S., Mazzone L., Laviola G., et al. Toward a pharmacogenetic algorithm for the personalization of drug treatments in autism spectrum disorder and attention-deficit hyperactivity disorder. Pharmacol. Res. 2021;165:105442. [Google Scholar]
- 24.Sikora D.M., Vora P., Coury D.L., Rosenberg D. Attention-deficit/hyperactivity disorder symptoms, adaptive functioning, and quality of life in children with autism spectrum disorder. Pediatrics. 2012;130((Suppl. 2)):S91–S97. doi: 10.1542/peds.2012-0900G. [DOI] [PubMed] [Google Scholar]
- 25.van der Meer J.M., Oerlemans A.M., Van Steijn D.J., Lappenschaar M.G., De Sonneville L.M., Buitelaar J.K., Rommelse N.N. Are autism spectrum disorder and attention-deficit/hyperactivity disorder different manifestations of one overarching disorder? Cognitive and symptom evidence from a clinical and population-based sample. J. Am. Acad. Child. Adolesc. Psychiatry. 2012;51:1160–1172.e3. doi: 10.1016/j.jaac.2012.08.024. [DOI] [PubMed] [Google Scholar]
- 26.Storebø O.J., Elmose Andersen M., Skoog M., Joost Hansen S., Simonsen E., Pedersen N., Tendal B., Callesen H.E., Faltinsen E., Gluud C., et al. Social skills training for attention deficit hyperactivity disorder (ADHD) in children aged 5 to 18 years. Cochrane Database Syst. Rev. 2019;2019:CD008223. doi: 10.1002/14651858.CD008223.pub3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Moher D., Liberati A., Tetzlaff J., Altman D.G., PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009;6:e1000097-269. doi: 10.1371/journal.pmed.1000097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 4th ed. American Psychiatric Publishing; Washington, DC, USA: 1994. [Google Scholar]
- 30.Slee V.N. The International Classification of Diseases: Ninth revision (ICD-9) Ann. Intern. Med. 1978;88:424–426. doi: 10.7326/0003-4819-88-3-424. [DOI] [PubMed] [Google Scholar]
- 31.World Health Organization . In: CD-10: International Statistical Classification of Diseases and Related Health Problems. 10th Revision. Disanto S., translator. Italian Collaborating Centre of WHO for the Family of International Classifications; Milan, Italy: 2001. [Google Scholar]
- 32.Wells G.A., Shea B., O’Connell D., Peterson J., Welch V., Losos M., Tugwell P. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses. Ottawa Hospital Research Institute; Ottawa, ON, Canada: 2000. [Google Scholar]
- 33.Sterne J.A.C., Savović J., Page M.J., Elbers R.G., Blencowe N.S., Boutron I., Cates C.J., Cheng H.Y., Corbett M.S., Eldridge S.M., et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. doi: 10.1136/bmj.l4898. [DOI] [PubMed] [Google Scholar]
- 34.Agency for Healthcare Research and Quality (AHRQ) Guidance for Assessing the Quality and Risk of Bias of Randomized Controlled Trials. U.S. Department of Health and Human Services; Rockville, MD, USA: 2012. [Google Scholar]
- 35.Research Units on Pediatric Psychopharmacology Autism Network Randomized, controlled, crossover trial of methylphenidate in pervasive developmental disorders with hyperactivity. Arch. Gen. Psychiatry. 2005;62:1266–1274. doi: 10.1001/archpsyc.62.11.1266. [DOI] [PubMed] [Google Scholar]
- 36.Posey D.J., Wiegand R.E., Wilkerson J., Maynard M., Stigler K.A., McDougle C.J. Open-label atomoxetine for attention-deficit/hyperactivity disorder symptoms associated with high-functioning pervasive developmental disorders. J. Child. Adolesc. Psychopharmacol. 2006;16:599–610. doi: 10.1089/cap.2006.16.599. [DOI] [PubMed] [Google Scholar]
- 37.Scahill L., Bearss K., Sarhangian R., McDougle C.J., Arnold L.E., Aman M.G., McCracken J.T., Tierney E., Gillespie S., Postorino V., et al. Using a patient-centered outcome measure to test methylphenidate versus placebo in children with autism spectrum disorder. J. Child. Adolesc. Psychopharmacol. 2017;27:125–131. doi: 10.1089/cap.2016.0107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Santosh P.J., Baird G., Pityaratstian N., Tavare E., Gringras P. Impact of comorbid autism spectrum disorders on stimulant response in children with attention deficit hyperactivity disorder: A retrospective and prospective effectiveness study. Child. Care Health Dev. 2006;32:575–583. doi: 10.1111/j.1365-2214.2006.00631.x. [DOI] [PubMed] [Google Scholar]
- 39.Simonoff E., Taylor E., Baird G., Bernard S., Chadwick O., Liang H., Whitwell S., Riemer K., Sharma K., Sharma S.P., et al. Randomized controlled double-blind trial of optimal dose methylphenidate in children and adolescents with severe attention deficit hyperactivity disorder and intellectual disability. J. Child. Psychol. Psychiatry. 2013;54:527–535. doi: 10.1111/j.1469-7610.2012.02569.x. [DOI] [PubMed] [Google Scholar]
- 40.Pearson D.A., Santos C.W., Aman M.G., Arnold L.E., Casat C.D., Mansour R., Lane D.M., Loveland K.A., Bukstein O.G., Jerger S.W., et al. Effects of extended release methylphenidate treatment on ratings of attention-deficit/hyperactivity disorder (ADHD) and associated behavior in children with autism spectrum disorders and ADHD symptoms. J. Child. Adolesc. Psychopharmacol. 2013;23:337–351. doi: 10.1089/cap.2012.0096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Pearson D.A., Santos C.W., Aman M.G., Arnold L.E., Lane D.M., Loveland K.A., Mansour R., Ward A.R., Casat C.D., Jerger S., et al. Effects of extended-release methylphenidate treatment on cognitive task performance in children with autism spectrum disorder and attention-deficit/hyperactivity disorder. J. Child. Adolesc. Psychopharmacol. 2020;30:414–426. doi: 10.1089/cap.2020.0004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Golubchik P., Rapaport M., Weizman A. The effect of methylphenidate on anxiety and depression symptoms in patients with Asperger syndrome and comorbid attention deficit/hyperactivity disorder. Int. Clin. Psychopharmacol. 2017;32:289–293. doi: 10.1097/YIC.0000000000000175. [DOI] [PubMed] [Google Scholar]
- 43.Kim S.J., Shonka S., French W.P., Strickland J., Miller L., Stein M.A. Dose-response effects of long-acting liquid methylphenidate in children with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD): A pilot study. J. Autism Dev. Disord. 2017;47:2307–2313. doi: 10.1007/s10803-017-3125-1. [DOI] [PubMed] [Google Scholar]
- 44.Peled J., Cassuto H., Berger I. Processing speed as a marker to stimulant effect in clinical sample of children with high functioning autism spectrum disorder. Nord. J. Psychiatry. 2020;74:163–167. doi: 10.1080/08039488.2019.1686063. [DOI] [PubMed] [Google Scholar]
- 45.Ventura P., de Giambattista C., Trerotoli P., Cavone M., Di Gioia A., Margari L. Methylphenidate use for emotional dysregulation in children and adolescents with ADHD and ASD: A naturalistic study. J. Clin. Med. 2022;11:2922. doi: 10.3390/jcm11102922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Arnold L.E., Aman M.G., Cook A.M., Witwer A.N., Hall K.L., Thompson S., Ramadan Y. Atomoxetine for hyperactivity in autism spectrum disorders: Placebo-controlled crossover pilot trial. J. Am. Acad. Child. Adolesc. Psychiatry. 2006;45:1196–1205. doi: 10.1097/01.chi.0000231976.28719.2a. [DOI] [PubMed] [Google Scholar]
- 47.Troost P.W., Steenhuis M.-P., Tuynman-Qua H.G., Kalverdijk L.J., Buitelaar J.K., Minderaa R.B., Hoekstra P.J. Atomoxetine for attention-deficit/hyperactivity disorder symptoms in children with pervasive developmental disorders: A pilot study. J. Child. Adolesc. Psychopharmacol. 2006;16:611–619. doi: 10.1089/cap.2006.16.611. [DOI] [PubMed] [Google Scholar]
- 48.Harfterkamp M., van de Loo-Neus G., Minderaa R.B., van der Gaag R.-J., Escobar R., Schacht A., Pamulapati S., Buitelaar J.K., Hoekstra P.J. A randomized double-blind study of atomoxetine versus placebo for attention-deficit/hyperactivity disorder symptoms in children with autism spectrum disorder. J. Am. Acad. Child. Adolesc. Psychiatry. 2012;51:733–741. doi: 10.1016/j.jaac.2012.04.011. [DOI] [PubMed] [Google Scholar]
- 49.Harfterkamp M., Buitelaar J.K., Minderaa R.B., van de Loo-Neus G., van der Gaag R.J., Hoekstra P.J. Atomoxetine in autism spectrum disorder: No effects on social functioning; some beneficial effects on stereotyped behaviors, inappropriate speech, and fear of change. J. Child. Adolesc. Psychopharmacol. 2014;24:481–485. doi: 10.1089/cap.2014.0026. [DOI] [PubMed] [Google Scholar]
- 50.Harfterkamp M., Buitelaar J.K., Minderaa R.B., van de Loo-Neus G., van der Gaag R.J., Hoekstra P.J. Long-term treatment with atomoxetine for attention-deficit/hyperactivity disorder symptoms in children and adolescents with autism spectrum disorder: An open-label extension study. J. Child. Adolesc. Psychopharmacol. 2013;23:194–199. doi: 10.1089/cap.2012.0012. [DOI] [PubMed] [Google Scholar]
- 51.Fernández-Jaén A., Fernández-Mayoralas D.M., Calleja-Pérez B., Muñoz-Jareño N., Campos Díaz M.R., López-Arribas S. Efficacy of atomoxetine for the treatment of ADHD symptoms in patients with pervasive developmental disorders: A prospective, open-label study. J. Atten. Disord. 2013;17:497–505. doi: 10.1177/1087054711423626. [DOI] [PubMed] [Google Scholar]
- 52.Handen B.L., Aman M.G., Arnold L.E., Hyman S.L., Tumuluru R.V., Lecavalier L., Corbett-Dick P., Pan X., Hollway J.A., Buchan-Page K.A., et al. Atomoxetine, parent training, and their combination in children with autism spectrum disorder and attention-deficit/hyperactivity disorder. J. Am. Acad. Child. Adolesc. Psychiatry. 2015;54:905–915. doi: 10.1016/j.jaac.2015.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Tumuluru R.V., Corbett-Dick P., Aman M.G., Smith T., Arnold L.E., Pan X., Buchan-Page K.A., Brown N.V., Ryan M.M., Hyman S.L., et al. Adverse events of atomoxetine in a double-blind placebo-controlled study in children with autism. J. Child. Adolesc. Psychopharmacol. 2017;27:708–714. doi: 10.1089/cap.2016.0187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Smith T., Aman M.G., Arnold L.E., Silverman L.B., Lecavalier L., Hollway J., Tumuluru R., Hyman S.L., Buchan-Page K.A., Hellings J., et al. Atomoxetine and parent training for children with autism and attention-deficit/hyperactivity disorder: A 24-week extension study. J. Am. Acad. Child. Adolesc. Psychiatry. 2016;55:868–876.e2. doi: 10.1016/j.jaac.2016.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kilincaslan A., Mutluer T.D., Pasabeyoglu B., Tutkunkardas M.D., Mukaddes N.M. Effects of atomoxetine in individuals with attention-deficit/hyperactivity disorder and low-functioning autism spectrum disorder. J. Child. Adolesc. Psychopharmacol. 2016;26:798–806. doi: 10.1089/cap.2015.0179. [DOI] [PubMed] [Google Scholar]
- 56.Scahill L., Pachler M. Treatment of hyperactivity in children with pervasive developmental disorders. J. Child. Adolesc. Psychiatr. Nurs. 2007;20:59–62. doi: 10.1111/j.1744-6171.2007.00080.x. [DOI] [PubMed] [Google Scholar]
- 57.McCracken J.T., Aman M.G., McDougle C.J., Tierney E., Shiraga S., Whelan F., Arnold L.E., Posey D., Ritz L., Vitiello B., et al. Possible influence of variant of the P-glycoprotein gene (MDR1/ABCB1) on clinical response to guanfacina in children with pervasive developmental disorders and hyperactivity. J. Child. Adolesc. Psychopharmacol. 2010;20:1–5. doi: 10.1089/cap.2009.0059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Scahill L., McCracken J.T., King B.H., Rockhill C., Shah B., Politte L., Sanders R., Minjarez M., Cowen J., Mullett J., et al. Extended-release guanfacine for hyperactivity in children with autism spectrum disorder. Am. J. Psychiatry. 2015;172:1197–1206. doi: 10.1176/appi.ajp.2015.15010055. [DOI] [PubMed] [Google Scholar]
- 59.Politte L.C., Scahill L., Figueroa J., McCracken J.T., King B., McDougle C.J. A randomized, placebo-controlled trial of extended-release guanfacine in children with autism spectrum disorder and ADHD symptoms: An analysis of secondary outcome measures. Neuropsychopharmacology. 2018;43:1772–1778. doi: 10.1038/s41386-018-0039-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Jaselskis C.A., Cook E.H., Jr., Fletcher K.E., Leventhal B.L. Clonidine treatment of hyperactive and impulsive children with autistic disorder. J. Clin. Psychopharmacol. 1992;12:322–327. doi: 10.1097/00004714-199210000-00005. [DOI] [PubMed] [Google Scholar]
- 61.Lamberti M., Siracusano R., Italiano D., Alosi N., Cucinotta F., Di Rosa G., Germanò E., Spina E., Gagliano A. Head-to-head comparison of aripiprazole and risperidone in the treatment of ADHD symptoms in children with autistic spectrum disorder and ADHD: A pilot, open-label, randomized controlled study. Paediatr. Drugs. 2016;18:319–329. doi: 10.1007/s40272-016-0183-3. [DOI] [PubMed] [Google Scholar]
- 62.Aman M.G., Singh N.N., Stewart A.W., Field C.J. The Aberrant Behavior Checklist: A behavior rating scale for the assessment of treatment effects. Am. J. Ment. Defic. 1985;89:485–491. [PubMed] [Google Scholar]
- 63.Conners C.K. Conners’ Rating Scales–Revised: Technical Manual. Multi-Health Systems; North Tonawanda, NY, USA: 1997. [Google Scholar]
- 64.Swanson J.M., Nolan W., Pelham W.E. The SNAP-IV Teacher and Parent Rating Scale. [(accessed on 17 April 2025)]. Available online: https://www.caddra.ca.
- 65.Guy W. Clinical Global Impressions. In: Guy W., editor. ECDEU Assessment Manual for Psychopharmacology. U.S. Department of Health, Education, and Welfare, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration; Rockville, MD, USA: 1976. pp. 217–222. [Google Scholar]
- 66.Chan J.K.-Y., Cheung T.C.-K., Chan C.-W., Fang F., Lai K.Y.-C., Sun X., O’reilly H., Golan O., Allison C., Baron-Cohen S., et al. Enhancing emotion recognition in young autistic children with or without attention-deficit/hyperactivity disorder in Hong Kong using a Chinese App version of The Transporters. Autism. 2024;28:945–958. doi: 10.1177/13623613231187176. [DOI] [PubMed] [Google Scholar]
- 67.Chu L., Shen L., Ma C., Chen J., Tian Y., Zhang C., Gong Z., Li M., Wang C., Pan L., et al. Effects of a nonwearable digital therapeutic intervention on preschoolers with autism spectrum disorder in China: Open-label randomized controlled trial. J. Med. Internet Res. 2023;25:e45836. doi: 10.2196/45836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Patel K., Curtis L.T. A comprehensive approach to treating autism and attention-deficit hyperactivity disorder: A prepilot study. J. Altern. Complement. Med. 2007;13:1091–1097. doi: 10.1089/acm.2007.0611. [DOI] [PubMed] [Google Scholar]
- 69.Yerys B.E., Bertollo J.R., Kenworthy L., Dawson G., Marco E.J., Schultz R.T., Sikich L. Brief report: Pilot study of a novel interactive digital treatment to improve cognitive control in children with autism spectrum disorder and co-occurring ADHD symptoms. J. Autism Dev. Disord. 2019;49:1727–1737. doi: 10.1007/s10803-018-3856-7. [DOI] [PubMed] [Google Scholar]
- 70.Schulz K.F., Altman D.G., Moher D., CONSORT Group CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c332. doi: 10.1136/bmj.c332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Lau-Zhu A., Fritz A., McLoughlin G. Overlaps and distinctions between attention deficit/hyperactivity disorder and autism spectrum disorder in young adulthood: Systematic review and guiding framework for EEG-imaging research. Neurosci. Biobehav. Rev. 2019;96:93–115. doi: 10.1016/j.neubiorev.2018.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Karalunas S.L., Hawkey E., Gustafsson H., Miller M., Langhorst M., Cordova M., Fair D., Nigg J.T. Overlapping and distinct cognitive impairments in attention-deficit/hyperactivity and autism spectrum disorder without intellectual disability. J. Abnorm. Child. Psychol. 2018;46:1705–1716. doi: 10.1007/s10802-017-0394-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Mayes S.D., Calhoun S.L., Murray M.J., Morrow J.D., Cothren S., Purichia H., Yurich K.K.L., Bouder J.N. Use of Gilliam Asperger’s disorder scale in differentiating high and low functioning autism and ADHD. Psychol. Rep. 2011;108:3–13. doi: 10.2466/04.10.15.PR0.108.1.3-13. [DOI] [PubMed] [Google Scholar]
- 74.Sturm H., Fernell E., Gillberg C. Autism spectrum disorders in children with normal intellectual levels: Associated impairments and subgroups. Dev. Med. Child. Neurol. 2004;46:444–447. doi: 10.1111/j.1469-8749.2004.tb00503.x. [DOI] [PubMed] [Google Scholar]
- 75.de Boo G.M., Prins P.J. Social incompetence in children with ADHD: Possible moderators and mediators in social-skills training. Clin. Psychol. Rev. 2007;27:78–97. doi: 10.1016/j.cpr.2006.03.006. [DOI] [PubMed] [Google Scholar]
- 76.Craig F., Lamanna A.L., Margari F., Matera E., Simone M., Margari L. Overlap between autism spectrum disorders and attention deficit hyperactivity disorder: Searching for distinctive/common clinical features. Autism Res. 2015;8:328–337. doi: 10.1002/aur.1449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Posey D.J., Aman M.G., McCracken J.T., Scahill L., Tierney E., Arnold L.E., Vitiello B., Chuang S.Z., Davies M., Ramadan Y., et al. Positive effects of methylphenidate on inattention and hyperactivity in pervasive developmental disorders: An analysis of secondary measures. Biol. Psychiatry. 2007;61:538–544. doi: 10.1016/j.biopsych.2006.09.028. [DOI] [PubMed] [Google Scholar]
- 78.Man K.K.C., Lau W.C.Y., Coghill D., Besag F.M.C., Cross J.H., Ip P., Wong I.C.K. Association between methylphenidate treatment and risk of seizure: A population-based, self-controlled case-series study. Lancet Child. Adolesc. Health. 2020;4:435–443. doi: 10.1016/S2352-4642(20)30100-0. [DOI] [PubMed] [Google Scholar]
- 79.Sturman N., Deckx L., van Driel M.L. Methylphenidate for children and adolescents with autism spectrum disorder. Cochrane Database Syst. Rev. 2017;11:CD011144. doi: 10.1002/14651858.CD011144.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Hutchison S.L., Ghuman J.K., Ghuman H.S., Karpov I., Schuster J.M. Efficacy of atomoxetine in the treatment of attention-deficit hyperactivity disorder in patients with common comorbidities in children, adolescents and adults: A review. Ther. Adv. Psychopharmacol. 2016;6:317–334. doi: 10.1177/2045125316647686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Rezaei G., Hosseini S.A., Sari A.A., Olyaeemanesh A., Lotfi M.H., Yassini M., Bidaki R., Nouri B. Comparative efficacy of methylphenidate and atomoxetine in the treatment of attention deficit hyperactivity disorder in children and adolescents: A systematic review and meta-analysis. Med. J. Islam. Repub. Iran. 2016;30:325. [PMC free article] [PubMed] [Google Scholar]
- 82.Garnock-Jones K.P., Keating G.M. Atomoxetine: A review of its use in attention-deficit hyperactivity disorder in children and adolescents. Paediatr. Drugs. 2009;11:203–226. doi: 10.2165/00148581-200911030-00005. [DOI] [PubMed] [Google Scholar]
- 83.Gerhard T., Winterstein A.G., Olfson M., Huang C., Saidi A., Crystal S. Pre-existing cardiovascular conditions and pharmacological treatment of adult ADHD. Pharmacoepidemiol. Drug Saf. 2010;19:457–464. doi: 10.1002/pds.1931. [DOI] [PubMed] [Google Scholar]
- 84.Reichart C.G., Nolen W.A. Earlier onset of bipolar disorder in children by antidepressants or stimulants? An hypothesis. J. Affect. Disord. 2004;78:81–84. doi: 10.1016/S0165-0327(02)00180-5. [DOI] [PubMed] [Google Scholar]
- 85.National Institute for Health and Care Excellence (NICE) NICE Guidelines for the Treatment of Adult ADHD. 2008. [(accessed on 15 February 2016)]. Available online: https://www.nice.org.uk/guidance/cg72.
- 86.D’Alò G.L., De Crescenzo F., Amato L., Cruciani F., Davoli M., Fulceri F., Minozzi S., Mitrova Z., Morgano G.P., Nardocci F., et al. Acceptability, equity, and feasibility of using antipsychotics in children and adolescents with autism spectrum disorder: A systematic review. BMC Psychiatry. 2020;20:561. doi: 10.1186/s12888-020-02956-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Safavi P., Hasanpour-Dehkordi A., AmirAhmadi M. Comparison of risperidone and aripiprazole in the treatment of preschool children with disruptive behavior disorder and attention deficit-hyperactivity disorder: A randomized clinical trial. J. Adv. Pharm. Technol. Res. 2016;7:43–47. doi: 10.4103/2231-4040.177203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Lv Y.B., Cheng W., Wang M.H., Wang X.M., Hu Y.L., Lv L.Q. Multimodal integrated intervention for children with attention-deficit/hyperactivity disorder. World J. Clin. Cases. 2023;11:4267–4276. doi: 10.12998/wjcc.v11.i18.4267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Steeger C.M., Gondoli D.M., Gibson B.S., Morrissey R.A. Combined cognitive and parent training interventions for adolescents with ADHD and their mothers: A randomized controlled trial. Child. Neuropsychol. 2016;22:394–419. doi: 10.1080/09297049.2014.994485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Scarselli V., Martucci M., Novelli M., Galosi S., Romani M., Sogos C. Diagnostic and therapeutic challenges of comorbid ASD, ADHD and psychosis: A case report. Behav. Sci. 2022;12:382. doi: 10.3390/bs12100382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Lebeña A., Faresjö Å., Faresjö T., Ludvigsson J. Clinical implications of ADHD, ASD, and their co-occurrence in early adulthood—The prospective ABIS-study. BMC Psychiatry. 2023;23:851. doi: 10.1186/s12888-023-05298-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Barnett K., Mercer S.W., Norbury M., Watt G., Wyke S., Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study. Lancet. 2012;380:37–43. doi: 10.1016/S0140-6736(12)60240-2. [DOI] [PubMed] [Google Scholar]
- 93.Hours C., Recasens C., Baleyte J.M. ASD and ADHD comorbidity: What are we talking about? Front. Psychiatry. 2022;13:837424. doi: 10.3389/fpsyt.2022.837424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Cucinotta F., Ricciardello A., Turriziani L., Mancini A., Keller R., Sacco R., Persico A.M. Efficacy and Safety of Q10 Ubiquinol With Vitamins B and E in Neurodevelopmental Disorders: A Retrospective Chart Review. Front. Psychiatry. 2022;13:829516. doi: 10.3389/fpsyt.2022.829516. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in this study are available on request from the corresponding author.

