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April 9, 2025
A new large-scale study has shed light on which treatments for attention-deficit/hyperactivity disorder (ADHD) in adults are most effective and best tolerated.
Researchers analyzed 113 randomized controlled trials involving nearly 15,000 adults diagnosed with ADHD. These studies included medications (like stimulants and atomoxetine), psychological therapies (such as cognitive behavioral therapy), and newer approaches like neurostimulation.
The Findings
Stimulant medications (lisdexamfetamine and methylphenidate) as well as selective norepinephrine reuptake inhibitors (SNRI) (atomoxetine) were the only treatments that consistently reduced core ADHD symptoms—both from the perspective of patients and clinicians. It may be worth noting that atomoxetine, while effective, was less well tolerated, with more people dropping out due to side effects.
Psychological therapies such as CBT, mindfulness, and psychoeducation showed some benefits, but mainly according to clinician ratings—not necessarily from the patients themselves. Neurostimulation techniques like transcranial direct current stimulation also showed some improvements, but only in limited contexts and with small sample sizes.
Conclusion
So, what does this mean for people navigating ADHD in adulthood? Stimulant medications remain the most effective treatment for managing ADHD symptoms day-to-day but nonstimulant medication are not far behind, which is good given the problems we’ve had with stimulant shortages. This study also supports structured psychotherapy as a viable treatment option, especially when used in conjunction with medication.
The study emphasizes the importance of ongoing, long-term research and the need for treatment plans that are tailored to the individual ADHD patient– Managing adult ADHD effectively calls for flexible, patient-centered care.
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Struggling with side effects or not seeing improvement in your day-to-day life? Dive into a step-by-step journey that starts with the basics of screening and diagnosis, detailing the clinical criteria healthcare professionals use so you can be certain you receive an accurate evaluation. This isn’t just another ADHD guide—it’s your toolkit for getting the care you deserve. This is the kind of care that doesn’t just patch up symptoms but helps you unlock your potential and build the life you want. Whether you’ve just been diagnosed or you’ve been living with ADHD for years, this booklet is here to empower you to take control of your healthcare journey.
Proceeds from the sale of this book are used to support www.ADHDevidence.org.
Ostinelli EG, Schulze M, Zangani C, Farhat LC, Tomlinson A, Del Giovane C, Chamberlain SR, Philipsen A, Young S, Cowen PJ, Bilbow A, Cipriani A, Cortese S. Comparative efficacy and acceptability of pharmacological, psychological, and neurostimulatory interventions for ADHD in adults: a systematic review and component network meta-analysis. Lancet Psychiatry. 2025 Jan;12(1):32-43. doi: 10.1016/S2215-0366(24)00360-2. PMID: 39701638.
There are several very effective drugs for ADHD, and those treatment guidelines from professional organizations view these drugs as the first line of treatment for people with ADHD. The only exception is for preschool children where medication is only the first line of treatment for severe ADHD; the guidelines recommend that other preschoolers with ADHD be treated with non-pharmacologic treatments, when available. Despite these guidelines, some parents and patients have been persuaded by the media or the Internet that ADHD drugs are dangerous and that non-drug alternative are as good or even better. Parents and patients may also be influenced by media reports that doctors overprescribe ADHD drugs or that these drugs have serious side effects. Such reports typically simplify and/or exaggerate results from the scientific literature. Thus, many patients and parents of ADHD children are seeking non-drug treatments for ADHD. What are these non-pharmacologic treatments and do they work? My next series of blogs will discuss each of these treatments in detail. Here I'll give an overview of my evidenced-based taxonomy of non-pharmacologic treatments for ADHD described in more detail in a book I recently edited (Faraone, S. V. &Antshel, K. M. (2014). ADHD: Non-Pharmacologic Interventions. Child Adolesc Psychiatry Clin N Am 23, xiii-xiv.). I use the term "evidence-based" in the strict sense applied by the Oxford Center for Evidenced Based Medicine (OCEBM; http://www.cebm.net/). Most of the non-drug treatments for ADHD fall into three categories: behavioral, dietary, and neurocognitive. Behavioral interventions include training parents to optimize methods of reward and punishment for their ADHD child, teaching ADHD children social skills, and helping teachers apply principles of behavior management in their classrooms. Cognitive behavior therapy is a method that teaches behavioral and cognitive skills to adolescent and adult ADHD patients. Dietary interventions include special diets that exclude food coloring or eliminate foods believed to cause ADHD symptoms. Other dietary interventions provide supplements such as iron, zinc, or omega-3 fatty acids. The neurocognitive interventions typically use a computer-based learning setup to teach ADHD patients cognitive skills that will help reduce ADHD symptoms. There are two metrics to consider when thinking about the evidence base for these methods. The first is the quality of the evidence. For example, a study of 10 patients with no control group would be a low-quality study, but a study of 100 patients randomized to either a treatment or control group would be of high quality and the quality would be even higher if the people's rating patient outcomes did not know who was in each group. The second metric is the magnitude of the treatment effect. Does the treatment dramatically reduce ADHD symptoms, or does it have only a small effect? This metric is only available for high-quality studies that compare people treated with the method and people treated with a 'control' method that is not expected to affect ADHD. I used a statistical metric to quantify the magnitude of the effect. Zero means no effect, and larger numbers indicate better effects on treating ADHD symptoms. For comparison, the effect of stimulant drugs for ADHD is about 0.9, which is derived from a very strong evidence base. The effects of dietary treatments are smaller, about 0.4 to 0.5, but because the quality of the evidence is not strong, these results are not certain and the studies of food color exclusions apply primarily to children who have high intakes of such colorants. In contrast to the dietary studies, the evidence base for behavioral treatments is excellent, but the effects of these treatments on ADHD symptoms are very small, less than 0.1. Supplementation with omega-3 fatty acids also has a strong evidence base, but the magnitude of the effect is also small (0.1 to 0.2). The neurocognitive treatments have modest effects on ADHD symptoms (0.2 to 0.4) but their evidence base is weak. This review of non-drug treatments explains why ADHD drug treatments are usually used first. The evidence base is stronger, and they are more effective in reducing ADHD symptoms. There is, however, a role for some non-drug treatments. I'll be discussing that in subsequent blog posts. See more evidence-based information about ADHD at www.adhdinadults.com
If you've ever wondered how experts make treatment recommendations for patients with ADHD, take a look at this ADHD treatment decision tree that my colleagues and I constructed for our "Primer" about ADHD,http://rdcu.be/gYyV.
Although a picture is worth a thousand words, keep in mind that this infographic only gives the bare bones of a complex process. That said, it is telling that one of the first questions an expert asks is if the patient has a comorbid condition that is more severe than ADHD. The general rule is to treat the more severe disorder first and after that condition has been stabilized plan a treatment approach for the other condition. Stimulants are typically the first-line treatment due to their greater efficacy compared with non-stimulants.
When considering any medication treatment for ADHD safety is the first concern, which is why medical contraindications to stimulants, such as cardiovascular issues or concerns about substance abuse, must be considered. For very young children (preschoolers) family behavior therapy is typically used before medication. Clinicians also must deal with personal preferences. Some parents and some adolescents and adults with ADHD simply don't want to take stimulant medications for the disorder. When that happens, clinicians should do their best to educate them about the costs and benefits of stimulant treatment.
If, as is the case for most patients, the doctor takes the stimulant arm of the decision tree, he or she must next decide if methylphenidate or amphetamine is more appropriate. Here there is very little guidance for doctors. Amphetamine compounds are a bit more effective, but can lead to greater side effects. Genetic studies suggest that a person's genetic background provides some information about who will respond well to methylphenidate, but we are not yet able to make very accurate predictions. After choosing the type of stimulant, the doctor must next consider what duration of action is appropriate for each patient.
There is no simple rule here; the choice will depend upon the specific needs of each patient. Many children benefit from longer-acting medications to get them through school, homework, and late afternoon/evening social activities. Likewise for adults. But many patients prefer shorter-acting medications, especially as these can be used to target specific times of day and can also lower the burden of side effects.
For patients taking down the non-stimulant arm of the decision tree, duration is not an issue but the patient and doctor must choose from among two classes of medications norepinephrine reuptake inhibitors or alpha-2-agonists. There are not a lot of good data to guide this decision but, again, genetics can be useful in some cases. Regardless of whether the first treatment is a stimulant or a non-stimulant, the patient's response must be closely monitored as there is no guarantee that the first choice of medication will work out well. In some cases, efficacy is low, or adverse events are high. Sometimes this can be fixed by changing the dose, and sometimes a trial of a new medication is indicated.
If you are a parent of a child with ADHD or an adult with ADHD, this trial-and-error approach can be frustrating. But don't lose hope. In the end, most ADHD patients find a dose and a medication that works for them. Last but not least, when medication leads to a partial response, even after adjusting doses and trying different medication types, doctors should consider referring the patient for a non-pharmacologic ADHD treatment.
You can read details about these in my other blogs, but here the main point is to find an evidence-based treatment. For children, the biggest evidence base is for behavioral family therapy. For adults, cognitive behavior therapy (CBT) is the best choice. Except for preschoolers, the experts I worked with on this infographic did not recommend these therapies before medication treatment. The reason is that the medications are much more effective, and many non-pharmacologic treatments (such as CBT) have no data indicating they work well in the absence of medication.
A Dutch study compared the efficacy of mindfulness-based cognitive therapy (MBCT) combined with treatment as usual (TAU), with TAU-only as the control group. MBCT consisted of an eight-week group therapy consisting of meditation exercises (body scan, sitting meditation, mindful movement), psychoeducation about ADHD, and group exercises. TAU consisted of usual treatment in the Netherlands, including medications and other psychological treatments. Sixty individuals were randomly assigned to each group. MBCT was taught in subgroups of 8 to 12 individuals. Patients assigned to TAU were not brought together in small groups. Baseline demographic and clinical characteristics were closely matched for both groups.
Outcomes were evaluated at the start, immediately following treatment, and again after 3 and 6 months using well-validated rating scales. Following treatment, the MBCT + TAU group outperformed the TAU group by an average of 3.4points on the Conner's Adult Rating Scale, corresponding to a standardized mean difference of .41. Thirty-one percent of the MBCT + TAU group made significant gains, versus 5% of the TAU group. 27% of MBCT +TAU patients scored a symptom reduction of at least 30 percent, as opposed to only 4% of TAU patients. Three and six-month follow-up effects were stable, with an effect size of .43.
The authors concluded, "that MBCT has significant benefits to adults with ADHD up to 6 months after post-treatment, about both ADHD symptoms and positive outcomes." Yet in their section on limitations, they overlook a potentially important one. There was no active placebo control. Those who were undergoing TAU-only were aware that they were not doing anything different from what they had been doing before the study. Hence, no substantial placebo response would be expected from this group during the intervention period (post-treatment they were offered an opportunity to undergo MBCT). Moreover, MBCT + TAU participants were gathered into small groups, whereas TAU participants were not. We, therefore, have no way of knowing what effect group interaction had on the outcomes because it was not controlled for. So, although these results are intriguing and suggest that further research is worthwhile, the work is not sufficiently rigorous to definitively conclude that MBCT should be prescribed for adults with ADHD.
For centuries, we’ve called the eyes the "windows to the soul," but for modern neurologists, they are quite literally a window into the brain. The retina and the central nervous system share the same embryonic origins, developing from the same neural tissue in the womb. Because of this deep biological connection, the back of your eye acts as a non-invasive map of your brain's health, displaying a complex web of nerves and blood vessels that can (theoretically!) mirror certain neurodevelopmental conditions.
Recently, a buzz rippled through the mental health community when a study published in partnership with Seoul National University Bundang Hospital claimed a massive breakthrough. Researchers developed an Artificial Intelligence (AI) model that could screen children for Attention-Deficit/Hyperactivity Disorder (ADHD) using nothing more than a simple retinal photograph. The study, which prospectively recruited children from Severance Hospital and Eunpyeong St. Mary’s Hospital, produced results that were staggering: the AI reportedly achieved an accuracy rate of 96.9%!
In the world of medical testing, scientists use a metric called AUROC (Area Under the Receiver Operating Characteristic) to measure how well a test works.
An AUROC of 96.9% is a near-perfect score, suggesting a tool is ready for immediate, real-world deployment. While headlines promised a revolution in mental health screening, a deeper look into this research and the study’s design has exposed that this 96.9% AUROC was more likely evidence of a flawed methodology rather than a biological reality.
To build their screening tool, researchers analyzed over 1,100 retinal images using a digital pipeline called AutoMorph and a machine-learning model known as XGBoost. The AI was trained to hunt for physical signals of the "Dopamine Connection." Dopamine is the primary neurotransmitter involved in ADHD, but it is also essential to the eye. It regulates synaptic formation, retinal blood flow, and vascular endothelial regulation. Because dopamine dysregulation influences how blood vessels grow and remodel, the study hypothesized that an ADHD brain would leave a unique "fingerprint" on the retinal vasculature, resulting in denser, thicker vessel structures.
On paper, the logic was sound: use AI to spot the subtle vascular remodeling caused by dopaminergic shifts. But a closer look at the investigation revealed that the AI wasn't just spotting ADHD; it was over-indexing on technical noise.
The most significant "smoking gun" flagged by critics is a massive temporal mismatch. In other words, there was a severe disparity in the timeframes and conditions under which the retinal images for the two comparison groups were collected. For an AI to learn a biological condition, it must compare groups under identical technical conditions. Instead, this study created a time-traveling dataset:
A scientific study is only as reliable as its control group. The control in any experiment acts as a baseline against which the study group is compared. In this case, the control group should be composed of children without any neurodevelopmental disorders, or of “typically developing” children.
In this study, the control group wasn't composed of healthy children from the community. Instead, they were patients visiting a tertiary ophthalmology clinic. Children visiting a specialist eye hospital are rarely "typical." They are there because they have symptomatic eye issues. This introduced a massive selection bias involving three major confounders:
When training AI, you must never allow the "test questions" to leak into the "study material." The researchers, however, committed a fundamental violation of machine learning hygiene known as Eye-to-Eye Data Leakage. The study split the data by the eye rather than by the participant.
Human eyes are highly correlated; the left eye is a near-mirror of the right. If a child's left eye was used for training and their right eye was used for testing, the AI was effectively "cheating." Instead of learning the general traits of ADHD, the model was potentially memorizing individuals. This error artificially balloons accuracy metrics.
The true test of medical AI is diagnostic specificity, or differential diagnosis. This refers to the ability to tell one condition apart from another. While the model claimed 96.9% accuracy against a flawed control group, its performance collapsed when faced with real-world complexity.
When the researchers asked the AI to differentiate between ADHD and Autism Spectrum Disorder (ASD), the accuracy plummeted to a poor 63% AUROC. In real-world clinical settings, an accuracy of 63% is dangerously close to a 50% coin flip. Since ADHD frequently co-occurs with ASD, anxiety, or intellectual disabilities, an AI that cannot handle these "clinical differentials" is functionally useless in a doctor's office. The failure at this stage proves the model was likely detecting technical quirks of the dataset rather than a unique biological marker for ADHD.
To move from the lab to the clinic, we must establish a foundation built on rigor rather than high-speed data scraping. Moving forward, we must demand these 3 Pillars of Trusted Medical AI :
The dream of a quick eye scan to diagnose ADHD is not dead, but it must be rescued from "fast science" shortcuts and buzzy headlines.
Background:
One of the more persistent concerns among parents of children with ADHD is whether stimulant medications will stunt their child's growth. A large Israeli cohort study now offers some of the most rigorous reassurance to date, and its methodology sets it apart from earlier research.
The question has long been complicated by a more fundamental uncertainty: do growth differences in children with ADHD stem from the condition itself, from stimulant treatment, or from factors present before any medication is ever prescribed? Without a clear answer, clinicians and families have faced a genuine dilemma when weighing the benefits of stimulant therapy against potential long-term physical costs.
Most previous studies compounded this difficulty by comparing group-average heights, which ignores the crucial variable of genetic potential. A child who is short relative to the general population may simply have short parents. Failing to account for this introduces systematic bias and can make medications appear more harmful than they are.
The Study:
The Israeli research team addressed this directly. Using health records from a nationwide provider, they assembled a retrospective cohort of children born between 1995 and 2003, following them through 2023. This amount of time was long enough for all participants to have reached adult stature (defined as 17 or older for females, 19 or older for males). Their sample included 5,671 children with untreated ADHD, 11,846 who received stimulant treatment, and 47,258 non-ADHD controls. Children who took stimulants for only one to two months, or who had chronic medical conditions requiring long-term medication, were excluded to avoid confounding the results.
Crucially, adult height was evaluated not against population norms but against each individual's expected height, calculated from parental heights using the Tanner-Goldstein-Whitehouse method, a standard approach for estimating genetic height potential via mid-parental height.
When the researchers compared adult heights across the three groups using analysis of variance (ANOVA), they did find statistically significant differences. But statistical significance, particularly in studies with tens of thousands of participants, does not automatically translate into clinical significance. The effect sizes were consistently very small, and the absolute differences were under one centimeter, which is a margin considered clinically negligible.
Their conclusion is measured but clear: after accounting for genetic growth potential, neither an ADHD diagnosis nor stimulant treatment was associated with meaningful reductions in adult height. The findings, they argue, support prioritizing behavioral and functional outcomes when making treatment decisions, since the risk of clinically significant height loss appears to be minimal.
The Take-Away:
For families navigating ADHD treatment, the practical implication is significant: concerns about permanent growth suppression, while understandable, should not be the primary driver of whether or how long a child receives stimulant therapy.
A recent meta-analysis examined how well cognitive behavioral therapy (CBT) improves not just symptoms, but everyday functioning and quality of life in adults with ADHD.
The Background:
ADHD in adults affects far more than attention or impulsivity. It often disrupts key areas of life:
These broad impacts highlight a key issue: reducing symptoms does not automatically translate into better day-to-day functioning.
CBT is a structured, skills-based therapy that helps people:
While both medication (especially stimulants) and CBT improve core ADHD symptoms, CBT is particularly aimed at improving real-world functioning.
The Study:
The researchers analyzed studies involving adults diagnosed with ADHD (or showing clinically significant symptoms). They included:
They focused specifically on outcomes beyond symptoms:
The Results:
1. Strongest Effects: Occupational functioning
CBT showed consistently strong improvements in work-related functioning compared to control groups, both immediately after treatment and at follow-up. This was the most robust finding across domains.
2. Moderate Improvement: Global Functional Impairment
CBT led to moderate improvements in overall daily functioning, with some evidence that gains persist over time. In studies tracking individuals over time, improvements were even stronger at follow-up.
3. Modest Gains: Social Relationships
CBT produced small to moderate improvements in social functioning. Benefits were present both after treatment and at follow-up, but were less pronounced than in work-related outcomes.
4. Limited Effects: Academic Functioning
There were moderate short-term gains when CBT was compared to control groups, but these did not persist at follow-up. Within-subject studies showed only small improvements overall.
5. Modest and Inconsistent Effects: Quality of Life
Improvements in quality of life were small when compared to control groups and often did not last. However, studies tracking individuals over time showed moderate improvements, suggesting some benefit that may not always show up clearly in between-group comparisons.
Overall, the findings suggest:
One notable nuance: CBT did not always outperform other active treatments (like medication or other therapies). This suggests that while CBT is effective, its benefits may partly overlap with broader therapeutic or support effects rather than relying on a single, unique mechanism.
The Take-Away:
CBT is a valuable, evidence-based treatment for adults with ADHD, especially for improving work functioning and overall daily life management. However, its impact on relationships, academic outcomes, and quality of life is more limited and less consistent, pointing to the need for more targeted or combined approaches in those areas.
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