Skip to main content

Why has prescribing of antidepressants increased over the last 30 years?

In a recent post on the platform X, Elon Musk claimed that antidepressants were over-prescribed. In many countries, the prescribing of antidepressants has increased significantly over the past 30 years. During the 1990s, public health campaigns aimed at reducing the stigma surrounding depression encouraged more people to seek treatment. This contributed to a rise in antidepressant prescriptions in countries such as the UK. 

Additionally, antidepressants - particularly selective serotonin reuptake inhibitors (SSRIs) - are now widely used not only for depression but also for other conditions such as anxiety disorders, post-traumatic stress disorder (PTSD), obsessive-compulsive disorder (OCD), and chronic pain. This expanded range of indications has been a significant factor in their increased use in recent decades.

One concern regarding antidepressant use is their potential toxicity and their role in suicide. SSRIs are generally considered safer than older antidepressants, such as tricyclic antidepressants (TCAs) and monoamine oxidase inhibitors (MAOIs), which are more likely to be associated with fatal overdoses.  

Because of their better safety profile, doctors are more willing to prescribe SSRIs than the older antidepressants. Their relative safety has made SSRIs the preferred choice of drug for many doctors and is also a factor in the increased prescribing of antidepressants.

Antidepressants do play an essential role in managing depression and some other mental health conditions, but over-prescription may occur in some cases due to system-wide barriers like limited access to psychological therapies. Addressing the wider determinants of health is also important. This would include areas such as poverty, housing and access to green spaces and other leisure facilities.

The increase in antidepressant prescribing in the UK has sparked debate about whether they are being over-prescribed. However, antidepressants are a clinically effective option for moderate to severe depression and are now used for a broader range of conditions, such as anxiety disorders and chronic pain. Ensuring a balanced approach, where pharmacological and non-pharmacological treatments are accessible and appropriately used, remains a key goal for improving mental health care in the UK and elsewhere in the world.

Comments

Popular posts from this blog

What is the difference between primordial prevention and primary prevention?

Primordial prevention and primary prevention are both crucial strategies for promoting health, but they operate at different levels. Primordial prevention aims to address the root causes of health problems and improve the wider determinants of health. It focuses on preventing the emergence of risk factors in the first place by tackling the underlying social, economic, and environmental determinants of health. This involves broad, population-wide interventions such as: Policies that promote healthy food choices: Think about initiatives like taxing sugary drinks to discourage unhealthy consumption, or providing subsidies for fruits and vegetables to make them more accessible. Urban planning that prioritises well-being: This could include creating walkable neighborhoods with safe cycling routes, ensuring access to green spaces for recreation and relaxation, and designing communities that foster social connections. Social programs that address inequality: Initiatives aimed at reducing pov...

What makes a good doctor – and who gets to decide?

What Makes a Good Doctor? This is the question that Waseem Jerjes and I explore in the Journal of the Royal Society of Medicine . It is a key question that underpins the architecture of medical education, clinical practice, regulation, and professional identity. It cannot be answered by regulators, educators, or employers in isolation. It must be answered together – by doctors and patients – revisited throughout a career, and adapted as society and the profession change. Without that shared reflection, the danger is not simply disillusionment, but the erosion of the moral foundations of clinical work. As we enter an era when diagnosis will increasingly involve artificial intelligence and when performance metrics reward volume over value, reclaiming this question as a professional one is imperative. The integrity of our institutions – and of the practitioners within them – depends on reimagining excellence in inclusive, relational terms. A good doctor is not a flawless technician or a f...

Relevance Over Recall: Rethinking How AI Uses Clinical Data

Our article in the Journal of the Royal Society of Medicine argues that safe and effective AI in healthcare must incorporate mechanisms that emulate human judgement - down-weighting old, inaccurate or superseded information and prioritising what is recent, clinically relevant and reaffirmed - so that AI supports, rather than disrupts, high-quality patient care.  Clinicians constantly revise, reinterpret and filter past information so that only what is relevant, accurate and timely shapes present-day management decisions; medical records function as dynamic “working tools” rather than fixed archives. By contrast, many AI systems lack this capacity for selective forgetting and often treat all historical data as equally meaningful.  This can lead to outdated or low-confidence diagnoses being repeatedly resurfaced, persistent labels influencing clinical expectations, and irrelevant, long-resolved events cluttering summaries and decision-support outputs. Such indiscriminate recall...