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May 15, 2021
Myth: ADHD medications "anesthetize" ADHD children.
The idea here is that the drug treatment of ADHD is no more than a chemical straightjacket intended to control a child's behavior to be less bothersome to parents and teachers. After all, everyone knows that if you shoot up a person with tranquilizers, they will calm down.
Fact: ADHD medications are neither anesthetics nor tranquilizers.
The truth of the matter is that most ADHD medications are stimulants. They don't anesthetize the brain; they stimulate it. By speeding up the transmission of dopamine signals in the brain, ADHD medications improve brain functioning, which in turn leads to an increased ability to pay attention and control behavior. The non-stimulant medications improve signaling by norepinephrine. They also improve the brain's ability to process signals. They are not sedatives or anesthetics. When taking their medication, ADHD patients can focus and control their behavior to be more effective in school, work, and relationships. They are not "drugged" into submission.
Myth: ADHD medications cause drug and alcohol abuse
We know from many long-term studies of ADHD children that when they reach adolescence and adulthood, they are at high risk for alcohol and drug use disorders. Because of this fact, some media reports have implied that their drug use was caused by treatment of their ADHD with stimulant medications.
Fact: ADHD medications do not cause drug and alcohol abuse
Some ADHD medications indeed use the same chemicals that are found in street drugs, such as amphetamine. But there is a very big difference between these medications and street drugs. When street drugs are injected or snorted, they can lead to addiction, but when they are taken in pill form as prescribed by a doctor, they do not cause addiction. When my colleagues and I examined the world literature on this topic, we found that rather than causing drug and alcohol abuse, stimulant medicine protected ADHD children from these problems later in life. One study from researchers at Harvard University and the Massachusetts General Hospital found that the drug treatment of ADHD reduced the risk for illicit drug use by84 a percent. These findings make intuitive sense. These medicines reduce the symptoms of the disorder that lead to illicit drug use. For example, an impulsive ADHD teenager who acts without thinking is much more likely to use drugs than an ADHD teen whose symptoms are controlled by medical drug treatment. After we published our study, other work appeared. Some of these studies did not agree that ADHD medications protected ADHD people from drug abuse, but they did not find that they caused drug abuse.
Myth: Psychological or behavioral therapies should be tried before medication.
Many people are cautious about taking medications, and that caution is even stronger when parents consider treatment options for their children. Because medications can have side effects, shouldn't people with ADHD try to talk therapy before taking medicine?
Fact: Treatment guidelines suggest that medication is the first-line treatment.
The problem with trying talk or behavior therapy before medication is that medication works much better. For ADHD adults, one type of talk therapy(cognitive behavioral therapy) is recommended, but only when the patient is also taking medication. The multimodal treatment of ADHD (MTA) study examined this issue in ADHD children from several academic medical centers in the United States. That study found that treating ADHD with medication was better than treating it with behavior therapy. Importantly, behavior therapy plus medication was no more effective than medication alone. That is why treatment guidelines from the American Academy of Pediatrics and the American Academy of Children and Adolescents recommend medicine as a first-line treatment for ADHD, except for preschool children. ADHD medications indeed have side effects, but these are usually mild and typically do not interfere with treatment. And don't forget about the risks that a patient faces when they do not use medications for ADHD. These untreated patients are at risk for worsening ADHD symptoms and complications.
Myth: Brain abnormalities of ADHD patients are caused by psychiatric medications
A large scientific literature shows that ADHD people have subtle problems with the structure and function of their brains. Scientists believe that these problems are the cause of ADHD symptoms. Critics of ADHD claim that these brain problems are caused by the medications used to treat ADHD. Who is right?
Fact: Brain abnormalities are found in never medicated ADHD patients.
Alan Zametkin, a scientist at the US National Institute of Mental Health, was the first to show brain abnormalities in ADHD patients who had never been treated for their ADHD. He found that some parts of the brains of ADHD patients were underactive. His findings could not be due to medication because the patients had never been medicated. Since his study, many other researchers have used neuroimaging to examine the brains of ADHD patients. This work confirmed Dr. Zametkin’s observation of abnormal brain findings in unmediated patients. Reviews of the brain imaging literature have concluded that the brain abnormalities seen in ADHD cannot be attributed to ADHD medications.
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Chang, Z., Lichtenstein, P., Halldner,L., D'Onofrio, B., Serlachius, E., Fazel, S., Langstrom, N. & Larsson, H. (2014). Stimulant ADHD medication and risk for substance abuse. J Child Psychol Psychiatry55,878-85.
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Rubia, K., Alegria, A. A., Cubillo, A. I., Smith, A. B., Brammer, M.J. &Radua, J. (2014). Effects of stimulants on brain function inattention-deficit/hyperactivity disorder: a systematic review and meta-analysis. Biol Psychiatry76, 616-28.
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ADHD is one of the most common neurodevelopmental disorders in children, yet anyone familiar with this disorder, from clinicians and researchers to parents and patients, knows how differently it can manifest from one individual to the next. One person diagnosed with ADHD may primarily struggle with focus and staying on-task; another may find it nearly impossible to regulate their impulses or even start tasks; a third may frequently find themselves frozen with overwhelm and subject to emotional reactivity…
These are not just variations in severity; they may reflect genuinely different patterns of brain organization.
Our current diagnostic system groups all of these presentations under a single label (ADHD), with three behavioral subtypes (Hyperactive, Inattentive, and Combined) defined by symptom checklists. This framework has real clinical value of course, but it was built from behavioral observation rather than neurobiology, and may leave room for substantial heterogeneity to remain unexplained. In a new study, published in JAMA Psychiatry, researchers asked whether it’s possible to identify distinct neurobiologically subgroups within ADHD by analyzing patterns of brain structure, and whether those subgroups would map onto meaningful clinical differences.
How the Brain Was Analyzed
Researchers analyzed structural MRI scans from 446 children with ADHD and 708 typically-developing children across multiple research sites. From each scan, they constructed a morphometric similarity network; that is, a map of how different brain regions resemble one another in their structural properties. These networks reflect underlying biological organization, including shared patterns of cellular architecture and gene expression across brain regions.
From each individual's network, the research team calculated three properties that capture how each brain region functions within the broader network: how many connections it has, how efficiently it communicates with other regions, and how well it bridges different functional communities in the brain. Regions that score highly on these measures are sometimes called "hubs" and they play particularly influential roles in how information is integrated across the brain.
Rather than comparing the ADHD group to controls as a whole and looking for average differences, they used a normative modeling approach. This works similarly to a growth chart in pediatric medicine: instead of asking whether a child is above or below the group average, it asks how much a given child deviates from the expected range for their age and sex. This allows for individual variation across the ADHD group rather than flattening it into a single average profile.
The team then applied a data-driven clustering algorithm to these individual deviation profiles, allowing the data to reveal whether subgroups of children with ADHD shared similar patterns of brain network atypicality, without using any clinical symptom information to guide the clustering.
The Results:
Three stable, reproducible subtypes emerged from this analysis.
The first subtype was characterized by the most widespread differences from the normative range, particularly in regions connecting the medial prefrontal cortex to the pallidum (a deep brain structure involved in motivation and emotional regulation). Children in this group had the highest levels of both inattention and hyperactivity/impulsivity, and over a four-year follow-up period showed more persistent difficulties with emotional self-regulation than the other groups. They also had a higher rate of mood disorder comorbidity during follow-up, though this difference did not reach statistical significance given the sample size. The brain deviation patterns of this subtype showed correspondence with the spatial distributions of several neurotransmitter systems, including serotonin, dopamine, and acetylcholine, all of which have been previously implicated in ADHD pathophysiology.
The second subtype showed alterations concentrated in the anterior cingulate cortex and pallidum, a circuit involved in action control and response selection. This subtype had a predominantly hyperactive/impulsive profile, and its brain deviation patterns were associated with glutamate and cannabinoid receptor distributions.
The third subtype showed more focal differences in the superior frontal gyrus, a region involved in sustained attention. This subtype had a predominantly inattentive profile, with brain patterns linked to a specific serotonin receptor subtype.
A particularly important observation was that these brain-derived groupings aligned with clinically meaningful symptom differences, even though no symptom information was used in the clustering process. The fact that an analysis of brain structure alone arrived at groupings that correspond to recognizable clinical patterns is meaningful evidence that these subtypes reflect genuine neurobiological differences rather than statistical noise.
Replication in an Independent Sample
Scientific findings are only as trustworthy as their ability to replicate. The research team tested this clustering model in an entirely independent cohort of 554 children with ADHD from the Healthy Brain Network, a large, publicly available dataset collected under different conditions. The three subtypes were successfully identified in this new sample, with strong correlations between the brain deviation patterns observed in the original and validation cohorts. Differences in hyperactivity/impulsivity across subtypes were consistent with the discovery cohort, providing meaningful external validation of the approach.
What This Does and Doesn't Mean
It is important to be clear about what these findings do and do not imply. This study does not establish that these three subtypes are categorically distinct biological entities with sharp boundaries. They probably represent distinguishable regions along an underlying continuum of neurobiological variation. The neurochemical associations reported are exploratory and spatial in nature; they describe correspondences between brain deviation maps and neurotransmitter receptor density maps derived from separate imaging studies, and do not directly establish that any particular neurotransmitter system is altered in each subtype, nor do they currently inform treatment decisions.
The samples were not entirely medication-naive, and the strict comorbidity exclusion criteria may limit how well these findings generalize to typical clinical populations where comorbidities are the rule rather than the exception. All data came from research sites in the United States and China, and broader generalizability remains to be established.
What the study does demonstrate is that structured neurobiological heterogeneity exists within the ADHD diagnosis, that it can be reliably detected using brain imaging and data-driven methods, and that it aligns with meaningful clinical differences. The subtype defined by the most extensive brain network differences and the most severe, persistent clinical profile may be of particular importance, representing a group that could benefit most from early identification and targeted support.
The longer-term goal of this line of research is to move toward a more biologically grounded understanding of ADHD that complements existing diagnostic approaches and that may ultimately help guide more individualized treatment decisions. That goal, for now, remains a research ambition rather than a clinical reality, but this study takes a meaningful step in that direction.
Managing high blood pressure requires more than just getting a prescription; it means taking medication consistently, day after day, often for years. For people with ADHD, that kind of routine can be genuinely difficult. In our new study, published in BMC Medicine, we set out to understand just how much ADHD affects whether people stick with their blood pressure medication, and whether ADHD treatment itself might make a difference.
Why This Question Matters
Hypertension affects nearly a third of adults worldwide and is one of the leading drivers of heart disease and stroke. At the same time, ADHD, long thought of as a childhood disorder, affects around 2.5% of adults and is increasingly recognized as a risk factor for cardiovascular problems, including high blood pressure. Yet no large-scale study had ever examined whether having ADHD affects how well people follow through with their blood pressure treatment. We wanted to fill that gap.
What We Did
We analyzed health records from over 12 million adults across seven countries, Australia, Denmark, the Netherlands, Norway, Sweden, the UK, and the US, who had started antihypertensive (blood pressure-lowering) medication between 2010 and 2020. About 320,000 of them had ADHD. We tracked two things: whether they stopped their blood pressure medication entirely within five years, and whether they were taking it consistently enough (covering at least 80% of days) over one, two, and five years of follow-up.
What We Found
Across nearly all countries, adults with ADHD were more likely to stop their blood pressure medication and less likely to take it consistently. Overall, those with ADHD had about a 14% higher rate of discontinuing treatment within five years, and were 45% more likely to have poor adherence in the first year, a gap that widened to 64% by the five-year mark. These patterns were most pronounced in middle-aged and older adults.
Interestingly, young adults with ADHD were actually slightly less likely to discontinue treatment than their peers without ADHD, a finding we think may reflect the fact that younger people with ADHD are often more actively engaged with healthcare systems, especially given the cardiovascular monitoring that comes with ADHD medication use.
Perhaps the most encouraging finding was this: among people with ADHD who were also taking ADHD medication, adherence to blood pressure treatment was substantially better. Those on ADHD medication were about 38% less likely to have poor adherence at one year, and nearly 50% less likely at five years. While we can't establish causation from this type of study, one plausible explanation is that treating ADHD, reducing inattention and impulsivity, makes it easier to maintain the routines that consistent medication use requires. It's also possible that people on ADHD medication simply have more regular contact with healthcare providers, which keeps other health problems better monitored and managed.
What This Means in Practice
The core ADHD symptoms of inattention and poor organization are precisely the traits that make long-term medication adherence difficult. Add in the complexity of managing multiple disorders and medications, and it's easy to see why people with ADHD face extra challenges. Our findings suggest that clinicians treating adults with ADHD for cardiovascular disorders should be aware of these challenges and consider tailored support strategies, things like regular follow-up appointments, patient education, and tools that help with routine and organization.
There's also a broader message here about the potential ripple effects of treating ADHD well. Supporting someone in managing their ADHD may not just improve their attention and daily functioning; it may also help them take better care of their physical health, including disorders as serious as hypertension.
Future research should explore which specific support strategies are most effective, and whether these findings hold in lower- and middle-income countries where the data don't yet exist.
If you or someone you know has ADHD, you may be familiar with the challenge of staying on medication. Stimulants like methylphenidate (Ritalin) are the most common and effective treatment for ADHD, but a surprisingly large number of people stop taking them within the first year. In our new study, published in Translational Psychiatry, we sought to determine whether a person's genetic makeup plays a role in the development of the disorder.
What We Did
We analyzed data from over 18,000 people with ADHD in Denmark, all of whom had started stimulant medication. We tracked whether they stopped treatment within the first year, defined as going more than six months without filling a prescription. Nearly 4 in 10 (39%) had discontinued by that point. We then looked at their genetic data to see whether DNA differences could help explain who was more likely to stop.
What We Found
The short answer is: genetics does play a role, but it's modest. No single gene had a dramatic effect. Instead, we found that a collection of small genetic influences—distributed across the genome—contributed to the likelihood of stopping treatment early.
One of the most consistent findings was that people with a higher genetic predisposition for psychiatric disorders like schizophrenia, depression, or general mental health difficulties were more likely to discontinue their medication. This was true across all age groups. Interestingly, having a higher genetic risk for ADHD itself was not associated with stopping treatment, suggesting that the genetics of having ADHD and the genetics of staying on medication are quite different things.
We also found that the genetic picture looks different depending on age. In children under 16, body weight genetics (BMI) played a surprising role, children with a genetic tendency toward higher weight were actually less likely to stop, possibly because stimulant-related appetite suppression is less of a problem for them. In older adolescents and adults, higher genetic potential for educational attainment and IQ was linked to staying on treatment, possibly reflecting better access to information and healthcare support.
On the rare variant side, we found a tentative signal that people who stopped treatment had fewer disruptive variants in genes involved in dopamine, the brain chemical that stimulants work on. This might mean that those who continue on medication genuinely have more disruption in their dopamine system and benefit more from stimulant treatment.
What This Means
Our findings suggest that stopping ADHD medication early isn't simply a matter of willpower or forgetting to take a pill. Biology matters. A person's broader genetic vulnerabilities, particularly for other psychiatric disorders, may make it harder to stay on treatment, perhaps because of side effects, poor response, or the complexity of managing multiple mental health challenges at once.
We're still far from being able to use genetics to predict who will stop their medication, the effects we found are real but small, and much of the variation in treatment persistence remains unexplained. But this work is a step toward understanding the biological foundations of treatment challenges in ADHD, and hopefully toward more personalized approaches to care in the future.
Larger studies and research that can distinguish why people stop (side effects versus poor response versus practical barriers), will be the next steps.
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