Cookie Preferences
By clicking, you agree to store cookies on your device to enhance navigation, analyze usage, and support marketing. More Info
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
September 17, 2025
Parents and teachers often ask: Does ADHD medication actually improve grades and school performance? The answer is: yes, but with important limitations. Medications are very effective at reducing inattention, hyperactivity, and impulsivity but their impact on long-term academic outcomes like grades and test scores is not as consistent.
In the Classroom
The medications for ADHD consistently: Improve attention, reduce classroom disruptions, increase time spent on-task and help children complete more schoolwork and homework. Medication can help children with ADHD access learning by improving the conditions for paying attention and persisting with work.
Does Medication Improve Test Scores and Grades?
This is where the picture gets more complicated. Medications have stronger effect on how much work is completed but a weaker effect on accuracy. Many studies show that children on medication attempt more problems in reading, math, and spelling, but the number of correct answers doesn’t always improve as much. Some studies find small but significant improvements in national exam scores and higher education entrance tests during periods when children with ADHD are medicated.
Grades improve, as well, but modestly. Large registry studies in Sweden show that students who consistently take medication earn higher grades than those who don’t. However, these gains usually do not close the achievement gap with peers who do not have ADHD.
Keep in mind that small improvements for a group as a whole mean that some children are benefiting greatly from medication and others not at all. We have no way of predicting which children will improve and which do not.
Medication Alone Isn’t Enough
Academic success depends on more than just reducing inattention, hyperactivity and impulsivity. Skills like organization, planning, studying, and managing long-term projects are also critical. Medication cannot teach these skills.
So, in addition to medication, the patient's treatment program should include educational support (tutoring, structured study skills programs), behavioral interventions (parent training, classroom management strategies), and accommodations at school (extra time, reduced distractions, organizational aids) Parents should discuss with their prescriber which of these methods would be appropriate.
Conclusions
ADHD medication is a powerful tool for reducing symptoms and supporting learning. It improves test scores and grades for some children, especially when taken consistently. But it is not a magic bullet for academic success. The best results come when medication is combined with educational and behavioral supports that help children build the skills they need to thrive in school and beyond.
Cortese, S., et al. (2018). Comparative efficacy and tolerability of medications for ADHD in children, adolescents, and adults: a systematic review and network meta-analysis. The Lancet Psychiatry, 5(9), 727–738.
Jangmo, A., et al. (2019). Attention-Deficit/Hyperactivity Disorder, School Performance, and Medication: A Swedish 9-Year Follow-Up Study. Journal of the American Academy of Child & Adolescent Psychiatry, 58(4), 423–432.
Kortekaas-Rijlaarsdam, A. F., et al. (2019). Does methylphenidate improve academic performance? A meta-analysis and study on the role of daily practice. European Child & Adolescent Psychiatry, 28(3), 357–370.
Lu, Y., et al. (2017). Association Between Medication Use and Performance on Higher Education Entrance Exams in ADHD. JAMA Psychiatry, 74(8), 815–822.
Molina, B. S. G., et al. (2009). The MTA at 8 Years: Prospective Follow-Up of Children Treated for Combined-Type ADHD in a Multisite Study. Journal of the American Academy of Child & Adolescent Psychiatry, 48(5), 484–500.
Pérez, T. V., et al. (2025). Long-term effect of pharmacological treatment on academic outcomes: a target trial emulation. International Journal of Epidemiology, 54(2).
Shaw, M., et al. (2012). A systematic review and analysis of long-term outcomes in ADHD: effects of treatment and non-treatment. BMC Medicine, 10, 99.
A German team of researchers performed a comprehensive search of the medical literature and identified 35randomized controlled trials (RCTs) published in English that explored this question. Participating children were between three and six years old. Children with intellectual disabilities, sensory disabilities, or specific neurological disorders such as epilepsy were excluded.
The total number of participating preschoolers was over three thousand, drawn almost exclusively from the general population, meaning these studies were not specifically evaluating effects on children with ADHD. But given that ADHD results in poorer executive functioning, evidence of the effectiveness of cognitive training would suggest it could help partially reverse such deficits.
RCTs assign participants randomly to a treatment group and a group not receiving treatment but often receiving a placebo. But RCTs themselves vary in risk of bias, depending on:
After evaluating the RCTs by these criteria, the team performed a series of meta-analyses.
Combining the 23 RCTs with over 2,000 children that measured working memory, they found that cognitive training led to robust moderate improvements. Looking only at the eleven most rigorously controlled studies strengthened the effect, with moderate-to-large gains.
Twenty-six RCTs with over 2,200 children assessed inhibitory control. When pooled, they indicated a small-to-moderate improvement from cognitive training. Including only the seven most rigorously controlled studies again strengthened the effect, boosting it into the moderate effect zone.
Twelve RCTs with over 1,500 participants tested the effects of cognitive training on flexibility. When combined, they pointed to moderate gains. Looking at only the four well-controlled studies boosted the effect to strong gains. Yet here there was evidence of publication bias, so no firm conclusion can be drawn.
Only four studies with a combined total of 119 preschoolers tested the effects on ADHD ratings. The meta-analysis found a small but non-significant improvement, very likely due to insufficient sampling. As the authors noted, "some findings of the meta-analysis are limited by the insufficient number of eligible studies. Specifically, more studies are needed which use blinded assessments of subjective ratings of ADHD ... symptoms ..."
The authors concluded that their meta-analyses revealed significant, mostly medium-sized effects of the preschool interventions on core EFs [executive functions] in studies showing the low risk of bias."
Monitoring the Future is a multicohort U.S. national longitudinal study of adolescents followed up into young adulthood.
The U.S. research team used data from this study to follow 5,034 twelfth graders over a period of six years, until they were 23 and 24 years of age.
Prescription stimulant misuse was assessed at baseline and each follow-up survey year by asking how often they used prescription stimulants without a physician’s orders. They were similarly asked about cocaine and methamphetamine use.
The study team adjusted for the following confounding variables: sex, race and ethnicity, parents’ level of education, urbanicity, U.S. region, cohort year, grade point average during high school, past-30-day cigarette use (at 18 years of age), past-2-week binge drinking (at 18), past-year marijuana use (at 18), past-year prescription opioid misuse (at 18), past-year prescription stimulant misuse (at 18), lifetime cocaine use (at 18), lifetime methamphetamine use (at 18), lifetime use of nonstimulant therapy for ADHD (at 18), and discontinued use of stimulant therapy for ADHD (at 18).
With these adjustments, they found that stimulant use for ADHD was in no way associated with subsequent cocaine use. In fact, it was associated with lesser odds of subsequent cocaine use, though the association was not statistically significant.
Likewise, they reported that stimulant use for ADHD was in no way associated with subsequent methamphetamine use.
On the other hand, those who used prescription stimulants without a physician’s orders were 2.6 times more likely to subsequently use either cocaine or methamphetamine.
The team concluded, “In this multicohort study of adolescents exposed to prescription stimulants, adolescents who used stimulant therapy for ADHD did not differ from population controls in initiation of illicit stimulant (cocaine or methamphetamine) use, which suggested a potential protective effect, given evidence of elevated illicit stimulant use among those with ADHD. In contrast, monitoring adolescents for PSM is warranted because this behavior offered a strong signal for transitioning to later cocaine or methamphetamine initiation and use during young adulthood.”
Noting that “little is known about whether school-level stimulant therapy for ADHD is associated with NUPS [nonmedical use of prescription stimulants] among US secondary school students,” a team of American researchers searched for answers in a nationally representative sample of 3,284 U.S. secondary schools with well over 150,000 high school students.
“Previous studies,” the authors continued, “have largely neglected school-level factors associated with NUPS among US secondary school students, including school size, school geographical location, school-level racial composition, school-level rates of substance use (eg, binge drinking), and school-level stimulant therapy for ADHD.”
In surveys, students were asked if they had ever taken stimulant medications for ADHD under a physician’s or health professional’s supervision, with three possible answers: no, yes but only in the past, and yes, currently. Responses for use in the past, and separately for current use, were combined and aggregated to the school level to reflect the percentage of the study body who used prescription stimulants for ADHD.
The surveys explored NUPS by asking, “On how many occasions (if any) have you taken amphetamines or other prescription stimulant drugs on your own—that is, without a doctor telling you to take them... in your lifetime?...during the last 12 months?...during the last 30 days?”
The study team controlled for sex, race and ethnicity, parental education, GPA, binge drinking, cigarette smoking, cannabis use, cohort year, school type, grade level, urbanicity, school size, US Census region, % of student body with low grades, % female, % with at least one parent with a college degree, % White, % binge drinking during past 2 weeks, % cigarette smoking in past 30 days, and % cannabis use during the past 30 days. The analysis also included individual-level medical use of stimulant therapy for ADHD history to estimate individual-level past-year NUPS. Finally, it included both individual-level and school-level risk factors to assess individual-level past-year NUPS.
With all these adjustments, at the individual level, both high school students presently on prescribed stimulant therapy for ADHD and those who had previously been on such prescribed therapy were more than twice as likely to engage in past-year NUPS as those who were never on prescribed stimulant medication.
Turning to the school level, in schools where 12% or more of students were on prescribed stimulant therapy for ADHD, students in general were 36% more likely to engage in past-year NUPS than in schools where none of the students were on prescribed stimulant therapy for ADHD.
This is not surprising, as it confirms that students who use prescription drugs for nonmedical often get their supply from fellow students who are prescribed those drugs.
While at the individual level, binge drinking, cigarette smoking, and cannabis use were strong predictors of NUPS, at the whole-school level they had no significant effect. A poor grade point average mildly increased risk in the individual, but high percentages of students with low grades had no effect on peer NUPS. Race and ethnicity made a difference at the individual level (NUPS significantly more likely among White students than Blacks and Hispanics), but made no difference at the school level.
The team concluded, “These findings suggest that school-level stimulant therapy for ADHD and other school-level risk factors were significantly associated with NUPS and should be accounted for in risk-reduction strategies and prevention efforts.”
Girls are diagnosed with ADHD at less than half the rate of boys, but this gap closes significantly by adulthood. ADHD also looks different in females than in males, with distinct patterns in symptoms, development, functional impairment, economic impact, and long-term outcomes. Despite this, sex differences in how ADHD relates to physical health have been poorly studied.
Prior research has established that both children and adults with ADHD face elevated risk for a range of physical health conditions. But that work has been hampered by small samples, retrospective designs, and limited population coverage.
The Study:
Denmark's single-payer national health system makes it possible to conduct truly population-wide research. This study drew on Danish national registers to follow more than 825,000 individuals, born between 1984 and 1995, from birth through adolescence and into young adulthood, tracking them across 13 categories of physical disease. Only individuals free of a relevant physical diagnosis at birth were included, and ADHD diagnosis was treated as something that could be acquired over time rather than a fixed characteristic.
The Results:
Across both sexes, people diagnosed with ADHD consistently showed higher disease risk than the general population, with cancer being the one notable exception. The absence of a meaningful cancer signal is expected, given that cancer predominantly affects older age groups than those captured in this study.
For most other disease categories (including infectious, endocrine, metabolic, respiratory, digestive, musculoskeletal, and genitourinary diseases), elevated risk emerged in early adolescence. For the remaining categories, elevated risk was present at all ages studied.
The magnitude of these risks was often substantial:
By early adulthood, individuals with ADHD showed at least 20% greater risk across every disease category except cancer, regardless of sex.
Sex Differences Shift With Age
One of the study's more nuanced findings concerns how sex interacts with ADHD diagnosis over time. In the general population, females tend to have higher physical disease risk from the teenage years onward, while males show higher risk in early childhood. ADHD diagnosis disrupted these patterns unevenly, amplifying risk in some groups and age windows more than others.
Perhaps most notably, the transition into young adulthood appeared to reduce the ADHD-associated gap between the sexes for endocrine, nutritional, and metabolic diseases (from a ninefold female-to-male disparity down to roughly 4.5-fold). The authors suggest this may reflect ADHD's influence on sex hormone activity during this developmental period.
Takeaway
This large, population-representative study confirms that an ADHD diagnosis is associated with meaningfully elevated risk across nearly all categories of physical disease, and that this relationship is neither uniform across sexes nor static across the lifespan. The findings underscore the need for sex-sensitive, developmentally informed approaches to the physical healthcare of people with ADHD.
Antidepressants are the primary drug treatment for depressive disorders, which affect 15–20% of pregnant women. They are among the most widely prescribed medications worldwide, and their use has increased in recent decades. Understanding their reproductive safety is critical to support informed, evidence-based prescribing during pregnancy.
A new meta-analysis sheds important light on one of the most debated concerns: whether children born to mothers who took antidepressants during pregnancy face a higher risk of ADHD.
The Study:
Pooling 14 studies covering more than 14 million participants, the analysis found that prenatal antidepressant exposure was associated with a 35% higher rate of ADHD in offspring compared to no exposure. A separate look at SSRIs (the most widely prescribed class of antidepressants, including Prozac and Zoloft) across 11 studies and over four million pregnancies found an even higher apparent risk (44%) after correcting for publication bias. On the surface, these are striking numbers.
Both associations came with an important caveat: enormous variation between individual studies, a statistical red flag suggesting the results may not reflect a true underlying effect. More tellingly, the apparent risk evaporated entirely when researchers applied a more rigorous method — comparing siblings within the same family, where one child was exposed to antidepressants in the womb, and another was not.
This sibling-comparison design is particularly powerful because it automatically controls for factors that run in families: shared genes, household environment, parenting, and socioeconomic conditions. When those influences are held constant, the link between antidepressant exposure and ADHD disappears. The same pattern held for SSRIs specifically.
Two other antidepressant classes, SNRIs (serotonin norepinephrine reuptake inhibitors) and tricyclics, showed no significant association in any analysis.
“Confounding by Indication”:
The probable driver of the initial association is what researchers call confounding by indication. The very condition being treated (depression) is itself a risk factor for ADHD in offspring, independently of any medication. Mothers with more severe depression are also more likely to be prescribed antidepressants, meaning the drug and the underlying illness are difficult to disentangle in standard analyses. Sibling studies cut through this problem cleanly.
The Take-Away:
The authors concluded that the association between antidepressants and ADHD risk was non-significant across all analyses designed to account for these confounding factors. This doesn’t mean antidepressants are without any reproductive considerations, but it does suggest that ADHD risk, at least, is driven by heritable and family-level factors rather than medication exposure itself.
For clinicians and patients weighing the risks of treating or not treating depression during pregnancy, this distinction matters considerably.
Executive functions are the mental processes that allow us to plan, adapt, and follow through. This encompasses working memory, inhibitory control, cognitive flexibility, goal-directed planning, and problem-solving. In people with ADHD, weaknesses in these areas compound the disorder's core symptoms, making it substantially harder to manage complex, real-world demands.
Background:
Medication remains the frontline clinical response. Stimulant medications can meaningfully reduce both executive function deficits and ADHD symptoms, and are often combined with behavioral or psychological therapies for better overall outcomes.
Medication, however, is not entirely without risk of side effects. These risks have spurred interest in new, non-pharmacological alternatives that target the same neural pathways. One of these new therapies is Computerized Cognitive Remediation Therapy (CCRT). This therapy uses digital programs delivered via computer, tablet, or smartphone that train attention, memory, and inhibitory control through structured cognitive exercises. A key feature of many CCRT platforms is adaptive difficulty: tasks adjust in real time to match the child’s current ability, keeping training both challenging and engaging.
The Study:
Despite this promise, the evidence base in younger populations has been limited. This meta-analysis pooled results from randomized controlled trials enrolling participants under 18 who either carried an ADHD diagnosis or scored above the threshold on a validated rating scale. Comparators included no treatment (waitlist), placebo (pharmacological or psychological), or treatment as usual. The primary outcomes (overall executive function and clinical symptom severity) were assessed via questionnaires and neuropsychological testing. Studies including participants with comorbid autism, tic disorders, epilepsy, or other psychiatric conditions were excluded.
The findings were informative, but overall results were mixed. CCRT produced a small but statistically meaningful reduction in inattention symptoms across 13 studies (885 participants), with consistent results across individual trials and no evidence of publication bias. However, it had no detectable effect on hyperactivity and impulsivity (12 studies, 833 participants) or on total ADHD symptom burden (10 studies, 731 participants).
The picture was more encouraging for executive function. Nine studies (500 participants) showed small overall improvements, with specific gains in working memory (454 participants), inhibitory control (428 participants), and planning (6 studies, 335 participants). Emotional control showed no significant change (5 studies, 265 participants), nor did cognitive flexibility (4 studies, 189 participants).
The Take-Away:
Taken together, these results are modest rather than transformative, but context matters. CCRT is low-cost, digitally scalable, and carries negligible side effects. For a population where medication often comes with a significant burden of adverse reactions, even small, reliable improvements in executive function represent a meaningful clinical option.
The evidence positions CCRT not as a replacement for established treatments, but as a practical and well-tolerated addition to the therapeutic toolkit for children and adolescents with ADHD.
_logo%201.svg)
