Prescription Drug Use and Polypharmacy Among Medicaid-Enrolled Adults with Autism: A Retrospective Cross-Sectional Analysis

Increased anticholinergic medication use in middle-aged and older autistic adults and its associations with self-reported memory difficulties and cognitive decline

Many commonly used prescription and over-the-counter medicines have potent anticholinergic (AC) effects. Among older adults, AC medications are associated with cognitive impairment and risk for cognitive disorders, including Alzheimer's disease. Collectively, the impact of AC medications is known as anticholinergic cognitive burden (ACB). Because of the high rates of co-occurring medical and psychiatric conditions, autistic adults may have high AC exposure and, thus, may experience elevated ACB. However, no research has characterized AC exposure or examined its associations with cognitive outcomes in autistic adults. Autistic adults (40-83 years) recruited via Simons Powering Autism Research's (SPARK) Research Match service self-reported their medication use (N = 415) and memory complaints (N = 382) at Time (T)1. At T2, 2 years later, a subset of T1 participants (N = 197) self-reported on decline in cognition. Medications were coded using two scales of AC potency. A high proportion (48.2%-62.9%, depending upon the AC potency scale) of autistic adults reported taking at least one medication with AC effects, and 20.5% to 26.5% of autistic adults reported clinically-relevant levels of AC medication (potency ≥3). After controlling for birth-sex, and age, hierarchical linear regression models showed total ACB scores and AC potency values of ≥3 predicted greater memory complaints. Logistic regression models showed that AC medicines at T1 were associated with self-reported cognitive decline at follow-up 2 years later. Understanding AC medications-including potentially earlier AC polypharmacy-and their impacts on cognition (e.g., dementia risk) in autistic adults is warranted.

Evaluating the regulatory function of non-coding autism-associated single nucleotide polymorphisms on gene expression in human brain tissue

Common variants account for most of the estimated heritability associated with autism spectrum disorder (autism). Although several replicable single nucleotide polymorphisms (SNPs) for the condition have been detected using genome-wide association study (GWAS) methodologies, their pathophysiological relevance remains elusive. Examining this is complicated, however, as all detected loci are situated within non-coding regions of the genome. It is therefore likely that they possess roles of regulatory function as opposed to directly affecting gene coding sequences. To bridge the gap between SNP discovery and mechanistic insight, we applied a comprehensive bioinformatic pipeline to functionally annotate autism-associated polymorphisms and their non-coding linkage disequilibrium (i.e., non-randomly associated) partners. We identified 82 DNA variants of probable regulatory function that may contribute to autism pathogenesis. To validate these predictions, we measured the impact of 11 high-confidence candidates and their GWAS linkage disequilibrium partners on gene expression in human brain tissue from Autistic and non-Autistic donors. Although a small number of the surveyed variants exhibited measurable influence on gene expression as determined via quantitative polymerase chain reaction, these did not survive correction for multiple comparisons. Additionally, no significant genotype-by-diagnosis effects were observed for any of the SNP-gene associations. We contend that this may reflect an inability to effectively capture the modest, neurodevelopmental-specific impact of individual variants on biological dysregulation in available post-mortem tissue samples, as well as limitations in the existing autism GWAS data.

Prevalence of Psychotropic Medication Use and Psychotropic Polypharmacy in Autistic Adults With or Without Intellectual Disability

The aim of this study was to compare the rates of psychotropic medication use and psychotropic polypharmacy between autistic adults with and without intellectual disability (ID) and to examine factors associated with psychotropic medication use and psychotropic polypharmacy in autistic adults, stratified by the presence of ID. We conducted a retrospective medical chart review of outpatients with an autism diagnosis aged 18 years and older. The rates of psychotropic medication use and psychotropic polypharmacy were compared between autistic adults with and without ID. Subsequently, logistic regression analyses were performed to identify factors associated with psychotropic medication use and psychotropic polypharmacy in autistic adults with ID and those without ID, respectively. The rates of prevalence of psychotropic medication use and polypharmacy were significantly higher in participants with ID than those without ID (78.6% vs. 58.8% and 49.3% vs. 31.2%; p-values < 0.05). Age, gender, race, residence, presence of mood disorders, presence of schizophrenia, absence of anxiety disorder, number of psychiatric comorbidities, and presence of behaviors that challenge were significantly associated with these outcomes, depending on the presence/absence of ID. The need to optimize pharmacotherapy in autistic adults, stratifying by the presence of ID, is highlighted.

Individually tailored dosage regimen of full-spectrum Cannabis extracts for autistic core and comorbid symptoms: a real-life report of multi-symptomatic benefits

Autism Spectrum Disorders (ASD) may significantly impact the well-being of patients and their families. The therapeutic use of cannabis for ASD has gained interest due to its promising results and low side effects, but a consensus on treatment guidelines is lacking. In this study, we conducted a retrospective analysis of 20 patients with autistic symptoms who were treated with full-spectrum cannabis extracts (FCEs) in a response-based, individually-tailored dosage regimen. The daily dosage and relative proportions of cannabidiol (CBD) and tetrahydrocannabinol (THC) were adjusted based on treatment results following periodic clinical evaluation. Most patients (80%) were treated for a minimum of 6 months. We have used a novel, detailed online patient- or caregiver-reported outcome survey that inquired about core and comorbid symptoms, and quality of life. We also reviewed patients' clinical files, and no individual condition within the autistic spectrum was excluded. This real-life approach enabled us to gain a clearer appraisal of the ample scope of benefits that FCEs can provide for ASD patients and their families. Eighteen patients started with a CBD-rich FCE titrating protocol, and in three of them, the CBD-rich (CBD-dominant) FCE was gradually complemented with low doses of a THC-rich (THC-dominant) FCE based on observed effects. Two other patients have used throughout treatment a blend of two FCEs, one CBD-rich and the other THC-rich. The outcomes were mainly positive for most symptoms, and only one patient from each of the two above-mentioned situations displayed important side effects one who has used only CBD-rich FCE throughout the treatment, and another who has used a blend of CBD-Rich and THC-rich FCEs. Therefore, after FCE treatment, 18 out of 20 patients showed improvement in most core and comorbid symptoms of autism, and in quality of life for patients and their families. For them, side effects were mild and infrequent. Additionally, we show, for the first time, that allotriophagy (Pica) can be treated by FCEs. Other medications were reduced or completely discontinued in most cases. Based on our findings, we propose guidelines for individually tailored dosage regimens that may be adapted to locally available qualified FCEs and guide further clinical trials.

Report of the ABAI Task Force on Contingent Electric Skin Shock

As a task force appointed by the Executive Council of the Association for Behavior Analysis International (ABAI), we investigated the clinical use of contingent electric skin shock (CESS) in behavior analytic treatments for severe problem behavior. We studied how CESS is used in contemporary behavior analysis, reinforcement-based alternatives to CESS, and current ethical and professional guidelines for applied behavior analysts. We recommended that ABAI uphold clients' right to receive CESS when it is restricted to extreme cases and used under rigorous professional and legal oversight. Our recommendation was rejected by a vote of the full members of ABAI, who instead endorsed an alternative recommendation, developed by members of the Executive Council, that opposed the use of CESS under any condition. Here we present for the record our report and initial recommendations, the formal statement that was rejected by the members of ABAI, and the statement that was endorsed.

Drug repurposing candidates to treat core symptoms in autism spectrum disorder

Autism spectrum disorder (ASD) is characterized by high heritability and clinical heterogeneity. The main core symptoms are social communication deficits. There are no medications approved for the treatment of these symptoms, and medications used to treat non-specific symptoms have serious side effects. To identify potential drugs for repurposing to effectively treat ASD core symptoms, we studied ASD risk genes within networks of protein-protein interactions of gene products. We first defined an ASD network from network-based analyses, and identified approved drugs known to interact with proteins within this network. Thereafter, we evaluated if these drugs can change ASD-associated gene expression perturbations in genes in the ASD network. This was done by analyses of drug-induced versus ASD-associated gene expression, where opposite gene expression perturbations in drug versus ASD indicate that the drug could counteract ASD-associated perturbations. Four drugs showing significant (p < 0.05) opposite gene expression perturbations in drug versus ASD were identified: Loperamide, bromocriptine, drospirenone, and progesterone. These drugs act on ASD-related biological systems, indicating that these drugs could effectively treat ASD core symptoms. Based on our bioinformatics analyses of ASD genetics, we shortlist potential drug repurposing candidates that warrant clinical translation to treat core symptoms in ASD.

Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses

Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach.

Self-rated familiarity with autism spectrum disorders among practicing nurses: a cross-sectional study in the palestinian nursing practice

Background

Autism spectrum disorders (ASDs) are one of the most prevalent neurodevelopmental disabilities of early childhood. Practicing nurses are in a key position to help patients with ASDs and/or their caregivers/families. This study was conducted to assess self-rated familiarity with ASDs among practicing nurses in Palestine. The study also aimed to identify the sociodemographic and practice variables that could predict high self-rated familiarity scores.

Methods

This was a cross-sectional study using a questionnaire. The study was conducted in the period between January 2019 and May 2019. The questionnaire collected: 1) the sociodemographic, pedagogic, and practice variables of the nurses, 2) their self-rated familiarity with signs and symptoms, treatment options, and community resources of ASDs, 3) their self-rated confidence in their abilities to provide counseling for parents/family/caregivers on the drugs prescribed for children/patients with ASDs and their potential adverse effects, and 4) their willingness to receive education/training on issues in ASDs.

Results

The questionnaire was completed by 357 practicing nurses. The practicing nurses self-reported inadequate familiarity with symptoms, treatment, and community resources of ASDs. The mean familiarity score was 35.8% (SD: 18.9%). The nurses also expressed low confidence in their ability to provide counseling services to caregivers/families of children with ASDs. About 75% of the nurses agreed that they could benefit from taking a continuing educational/training program in the area of ASDs and about 82% of the nurses agreed that the nursing school curriculum should include courses in the area of ASDs. The multiple linear regression model showed that higher familiarity scores were predicted by having longer practical experience, having a higher academic degree in nursing, and having a continuing educational course/program on ASDs.

Conclusion

Findings of this study highlighted inadequate familiarity with issues of ASDs among practicing nurses. Higher familiarity was predicted by the length of practical experience, higher academic degree in nursing, and having continuing educational course/program on ASDs. Specifically designed pedagogic interventions might be helpful in increasing familiarity of practicing nurses on ASDs. More investigations are still needed to evaluate if these interventions can improve familiarity and services provided to patients with ASDs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-021-00764-3.

The challenge of detecting adverse events in adults with autism spectrum disorder who have intellectual disability

Adults with autism spectrum disorder (ASD) and associated intellectual disability (ID) take a high number of different psychotropic drugs simultaneously. Nowadays, little is known about this multidrug pattern efficacy and safety. The present study has endeavored to fill this gap creating a local pharmacovigilance system. A 36-month, retrospective and prospective, observational, and multicenter pharmacovigilance study was carried out in adults with ASD and ID (n = 83). Information regarding ongoing medications (polypharmacy: taking simultaneously >4 drugs; safety profile: adverse events' number, adverse drug reactions' number, and affected system; and observed-to-expected [O/E] ratio using the summary of product characteristics), and current diagnoses were recorded. A median of four ongoing medications per participant was registered, half of the sample was under polypharmacy regimen. Regarding all ongoing medications, 50% were antipsychotic drugs, and 47% of participants had >1 antipsychotic prescribed. In contrast, only 64 adverse events were identified from electronic health records, mostly due to risperidone. Half of them were related either to nervous or metabolic systems, and almost a third were not previously described in the corresponding drug summary of products characteristics. Extrapyramidalism, gynecomastia, hypercholesterolemia, and urinary retention were some AEs that occurred more frequently than expected (O/E ratio > 6 times) according to our data. The highest O/E ratio scores (>120 times) were for hypercholesterolemia and rhabdomyolysis caused by valproic acid. According to the number of adverse events and adverse drug reactions reported in electronic health records locally and nationally by clinicians, we need to increase awareness about medications safety. LAY SUMMARY: A 36-month study in adults with autism, ID, and polypharmacy (>4 drugs) was done to investigate drug safety on everyone. A median of four medications per person was registered, half were antipsychotic drugs, and 47% of participants had >1 antipsychotic medication simultaneously. Only 64 adverse events were identified from electronic health records, mostly due to risperidone. Half of them were related to nervous or metabolic systems and a third were not previously described in the drug information sheet.

Psychotropic Polypharmacy Among Children and Youth with Autism: A Systematic Review

Objectives: Majority of youth with autism are taking two or more medications (psychotropic or nonpsychotropic) simultaneously, also known as polypharmacy. Yet the efficacy and the potential outcomes of polypharmacy in this population are widely unknown. This systematic literature review described the trends of polypharmacy among autistic youth, and identified factors associated with polypharmacy. Methods: Sixteen studies were included, encompassing over 300,000 youth with autism. Results: Rates of polypharmacy varied quite substantially across studies, ranging from 6.8% to 87% of autistic youth. Having psychiatric comorbidities, self-injurious behaviors, and physical aggression, as well as being male and older, were associated with higher rates of polypharmacy. Conclusion: Findings emphasize the importance of further research to determine appropriate practices related to the monitoring of adverse side effects, and the long-term impact of polypharmacy among autistic youth.

Health characteristics of reproductive-aged autistic women in Ontario: A population-based, cross-sectional study

LAY ABSTRACT

While an increasing number of girls and women are being identified with autism, we know little about reproductive-aged autistic women's health. This study used administrative data from Ontario, Canada, to compare the health of reproductive-aged autistic women with non-autistic women. Overall, reproductive-aged autistic women had poorer health compared with non-autistic women, including increased rates of material deprivation, chronic medical conditions, psychiatric conditions, history of assault, and use of potentially teratogenic medications (i.e. drugs that can be harmful to the development of an embryo or fetus). These findings suggest that there is a need for health interventions tailored to the needs of reproductive-aged autistic women.

Open-Label Assessment of the Effects of Itraconazole and Rifampicin on Balovaptan Pharmacokinetics in Healthy Volunteers

INTRODUCTION

Balovaptan, an investigational vasopressin 1a receptor antagonist that has been evaluated for improvement of social communication and interaction, is primarily metabolized by cytochrome P450 3A4 (CYP3A4).

METHODS

Two single-center, non-randomized, two-period, phase 1 studies assessed the effect of the strong CYP3A4 inhibitor itraconazole (study NCT03579719) or the strong CYP3A4 inducer rifampicin (study NCT03586726) at steady state on the pharmacokinetics (PK) of steady-state balovaptan in healthy volunteers. Participants received balovaptan (5 or 10 mg/day) alone for 10 days, or in combination with itraconazole (200 mg/day) for 15 days, or rifampicin (600 mg/day) for 10 days, following balovaptan washout and itraconazole/rifampicin pre-dosing. Geometric mean ratios (GMRs) and 90% confidence intervals (90% CIs) for the area under the concentration-time curve over the dosing interval (AUC) and maximum plasma concentration (C_max) of balovaptan dosed with vs. without itraconazole/rifampicin were estimated from a mixed effects model.

RESULTS

Both studies comprised 15-16 healthy male and female volunteers. Itraconazole 200 mg/day elevated steady-state exposure to 5 mg/day balovaptan approximately 4.5-5.5-fold (Day 15 GMR [90% CI], 4.46 [4.06-4.90] for C_max and 5.57 [5.00-6.21] for AUC) and extended the time to steady state from ~ 5 days to ~ 13-14 days. Rifampicin 600 mg/day resulted in ~ 90% reductions in both the C_max (Day 10 GMR [90% CI], 0.14 [0.12-0.15]) and AUC (0.07 [0.06-0.07]) of balovaptan 10 mg/day. Time to balovaptan steady state could not be determined with rifampicin. There were no clinically significant safety findings in either study.

CONCLUSIONS

Strong modulators of CYP3A4 activity will significantly alter the PK of balovaptan, with the effect of CYP3A4 induction greater than that of inhibition. Caution should be taken when concomitantly dosing balovaptan with moderate or strong CYP3A4 inducers or strong CYP3A4 inhibitors.

TRIAL REGISTRATION NUMBER

NCT03579719; NCT03586726.

Multimorbidity and psychotropic polypharmacy among participants with autism spectrum disorder with intellectual disability

Nowadays, adults with autism spectrum disorder (ASD) experience several comorbidities whose treatment implies a wide range of psychotropic prescriptions. This study aimed to evaluate medication-related safety, drug-drug interactions, and psychotropics prescription trends. We conducted an observational and multicentric pharmacovigilance study in subjects with ASD and Intellectual disability (ID, n = 83). Clinical information (diagnoses, ongoing medications, comorbidities [multimorbidity ≥ 4 chronic health conditions]) and psychotropic prescriptions (polypharmacy ≥ 4 chronic drugs, daily drug doses, co-prescription) were registered. Ethical approval for this study was obtained. Participants (30±10 years old, 86% men, BMI 27±6 kg/m2) displayed 37% multimorbidity (mean of 3, IQR 2-4), and 57% polypharmacy (13% out of dose recommended range). Most drugs prescribed were psychotropic risperidone which is related to nervous system comorbidities (18% epilepsy, 16% insomnia, and 14% psychotic agitations). Risperidone and quetiapine were co-prescribed in 60% of the cases without any monitoring adverse event routine. The rates of multimorbidity and polypharmacy, among our young adults with ASD and ID, are concerning. Data suggest the need to develop a pharmacovigilance monitoring system to evaluate prescription accuracy, long-term safety of ongoing medications, and the fixed doses in this autistic population with associated ID.

Patient-Level Medication Regimen Complexity in an Adolescent and Adult Population with Autism Spectrum Disorders

BACKGROUND

Adults with autism spectrum disorder (ASD) frequently experience polypharmacy. However, there is limited understanding of how to quantify medication complexity in this vulnerable population.

OBJECTIVES

This study examined medication administration difficulty using the Medication Regimen Complexity Index (MRCI) tool in adolescents and adults with ASD. The outcomes compared the mean total MRCI score with the medication count, described MRCI contributions for over-the-counter medication (OTC), and compared MRCI scores by patient characteristics.

METHODS

This was a retrospective chart review of patients aged 7-45 years (mean = 20.1) enrolled in a primary care ASD transitions program. Each patient's listed medications were counted and then scored using the validated MRCI tool.

RESULTS

For the 142 patients studied, mean total MRCI was 14.6 ± 14.6 (range 0-89) and mean medication count was 6.3 ± 5.4 (range 0-38). For patients on 0-4 medications (66 of 142; 46.5%), the mean MRCI was 5.5 ± 4.2, 5-9 medications (50 of 142; 35.2%) the mean MRCI was 15.2 ± 6.8, and 10-38 medications (26 of 142; 18.3%) the mean MRCI was 36.5 ± 18.9 (p<0.001). Sixty percent (85 of 142) reported OTC use, which contributed 26.6% to the mean total MRCI. Reported benzodiazepine (mean MRCI 25.8 ± 17.2), antiepileptic (mean MRCI 23.7 ± 16.9), antipsychotic (mean MRCI 19.7 ± 15.9), or antidepressant (mean MRCI 17.0 ± 14.8) use received higher MRCI scores compared to nonuse (p<0.001 for all except antidepressants [p=0.004]). Total MRCI did not differ significantly by age group, sex, or attention-deficit-hyperactivity disorder (ADHD) medication use (stimulant or nonstimulant).

CONCLUSIONS

Medication regimen complexity in adolescents and adults with ASD was increased significantly for individuals taking ≥ 5 medications. Central nervous system agent use, other than ADHD therapy, identified patients with higher regimen complexity. The related clinical effects of these findings warrant further investigation.

From bedside to bench and back: Translating ASD models

Autism spectrum disorders (ASD) represent a heterogeneous group of disorders defined by deficits in social interaction/communication and restricted interests, behaviors, or activities. Models of ASD, developed based on clinical data and observations, are used in basic science, the "bench," to better understand the pathophysiology of ASD and provide therapeutic options for patients in the clinic, the "bedside." Translational medicine creates a bridge between the bench and bedside that allows for clinical and basic science discoveries to challenge one another to improve the opportunities to bring novel therapies to patients. From the clinical side, biomarker work is expanding our understanding of possible mechanisms of ASD through measures of behavior, genetics, imaging modalities, and serum markers. These biomarkers could help to subclassify patients with ASD in order to better target treatments to a more homogeneous groups of patients most likely to respond to a candidate therapy. In turn, basic science has been responding to developments in clinical evaluation by improving bench models to mechanistically and phenotypically recapitulate the ASD phenotypes observed in clinic. While genetic models are identifying novel therapeutics targets at the bench, the clinical efforts are making progress by defining better outcome measures that are most representative of meaningful patient responses. In this review, we discuss some of these challenges in translational research in ASD and strategies for the bench and bedside to bridge the gap to achieve better benefits to patients.

Healthcare experiences of young adults with autism spectrum disorder

Purpose

Characteristic challenges that define autism spectrum disorder (ASD), coupled with comorbid conditions and poor communication with providers, can lead to inadequate healthcare. The majority of previous work has focused on children. The purpose of this paper is to examine the healthcare experiences of young adults with ASD within the US healthcare system.

Design/methodology/approach

An online questionnaire was utilized to examine: the accessibility of healthcare for those with ASD: do they make their own appointments, fill out paperwork independently, go in the examination room on their own; the quality of care they receive: what are their medical needs, how effectively can they communicate their needs, do providers understand their disability; and the outcomes of care: do they understand their recommended care, can they follow healthcare instructions accurately, are they satisfied with the care received. The authors compared responses of those with ASD (n=16) with those of parents of adults with ASD (n=50), as well as a matched comparison group of young adults without ASD (n=42) for statistical differences using the Fisher Exact test. The authors also asked parents about their time costs of assisting their adult children through the healthcare process.

Findings

The results suggest that those with ASD overestimated their ability to manage their healthcare needs, felt more positively about the healthcare they received than was warranted, and were significantly less independent in managing their healthcare than their peers. Parents experienced losses and costs in terms of lost productivity, household work, and personal time.

Originality/value

This study furthers the understanding of the healthcare experiences of young adults with ASD which is crucial to dissecting problems which hamper access to quality care.

Prescription Trends of Psychotropics in Children and Adolescents with Autism Based on Nationwide Health Insurance Data

Children with autism are often medicated to manage emotional and behavioral symptoms; yet, data on such pharmacotherapy is insufficient. In this study, we investigated the Korean National Health Insurance Claims Database (NHICD) information related to autism incidence and psychotropic medication use. From the 2010-2012 NHICD, we selected a total of 31,919,732 subjects under 19 years old. To examine the diagnostic incidence, we selected patients who had at least one medical claim containing an 10th revision of International Statistical Classification of Diseases and Related Health Problems (ICD-10) code for pervasive developmental disorder, F84, not diagnosed in the previous 360 days. Psychotropics were categorized into seven classes. Then, we analyzed the data to determine the mean annual diagnostic incidence and psychotropic prescription trends. Diagnostic incidence was 17,606 for the 3 years, with a mean annual incidence per 10,000 population of 5.52. Among them, 5,348 patients were prescribed psychotropics. Atypical antipsychotics were the most commonly used, followed by antidepressants. An older age, male sex, and the availability of medical aid were associated with a higher rate of prescription than observed for a younger age, female sex, and the availability of health insurance. Psychotropic drugs were used for less than one-third of patients newly diagnosed with autism, and prescription differed by sex and age. Increased diagnostic incidence is associated with an increased prescription of psychotropic drugs. Therefore, medication-related safety data and policies for psychotropic drugs in autism should be prepared.

Psychiatric comorbidities and use of psychotropic medications in people with autism spectrum disorder in the United States

This study investigated psychotropic medication usage in two large, cohorts of people with autism spectrum disorder (ASD) throughout the calendar year 2014. The cohorts referred to individuals with commercial (employer-sponsored) and Medicaid insurance in the United States. We aimed to understand prescribing patterns of such medications across a wide age-range and in the presence/absence of other clinical and non-clinical characteristics, including psychiatric comorbidities. We described the prevalence and length of prescriptions by age, psychiatric comorbidity and overall. We also fitted multivariable logistic regression models to describe the relationship between treatments and subject characteristics simultaneously. Eighty percent of the identified population was male, although gender did not impact the odds of receiving medication. Medication use was strongly associated with age, increasing most rapidly before adulthood; generally plateauing thereafter. All psychiatric comorbidities studied also individually increased the chances of medication use, with epilepsy and ADHD having the highest associations in both the commercial (OR > 7) and Medicaid (OR around 12) cohorts. Those in non-capitated insurance plans, in foster care and white individuals also had increased odds of prescriptions. Overall, slightly more Medicaid enrollees received any psychotropic treatment (commercial: 64%, Medicaid: 69%). Nonetheless in both cohorts, a large proportion of individuals received treatment even without a diagnosis of any other psychiatric comorbidity (commercial: 31%, Medicaid: 33%). In summary, this report sheds new light on the latest patterns of psychiatric comorbidity profile and psycho-pharmacological treatment patterns in ASD Autism Res 2017, 10: 2037-2047. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: this study identified a large number of children and adults in the US with autism spectrum disorder (autism) from employer-sponsored and government funded (Medicaid) health insurance data. Psychotropic medications were used by over two thirds of people, and four in ten people received two medications at the same time. The chances of receiving medication increased for individuals with other psychiatric conditions (e.g., ADHD), and also increased with age.