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India's Drug Quality Under Scrutiny: Over 30 Substandard Samples Detected by Central Labs in August

  • Nishadil
  • September 23, 2025
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India's Drug Quality Under Scrutiny: Over 30 Substandard Samples Detected by Central Labs in August

In a crucial update concerning India's pharmaceutical integrity, the Central Drugs Standard Control Organisation (CDSCO)'s latest findings reveal a concerning reality: 32 drug samples were declared "Not of Standard Quality" (NSQ) by Central Drugs Labs in August 2023. This discovery, emerging from a total of 1152 samples meticulously tested, translates to approximately 2.78% of drugs failing to meet the required quality benchmarks, underscoring persistent challenges in ensuring medication efficacy and patient safety across the nation.

The implications of such findings are profound, touching upon a wide spectrum of essential medicines.

Among the drugs flagged as substandard are critical antibiotics like Cefixime, Amoxicillin & Clavulanate Potassium, Ofloxacin & Ornidazole, and Amoxycillin – medications vital for combating bacterial infections. The list also includes commonly used analgesics such as Paracetamol, along with essential multivitamins, antacids, anti-inflammatory drugs, anti-diabetic medications like Metformin, and anti-hypertensive drugs including Telmisartan.

The failure of these frequently prescribed medicines to meet quality standards poses a significant risk to public health, potentially leading to treatment failures, prolonged illness, and even adverse health outcomes.

The reasons behind these quality failures are varied but alarming. Samples were found wanting in crucial parameters such as dissolution tests, assay failures (indicating incorrect active ingredient concentration), presence of related substances, and even basic description failures or the presence of particulate matter.

These deficiencies suggest lapses in manufacturing processes, quality control, or ingredient sourcing, demanding urgent attention from pharmaceutical companies.

The substandard drugs originated from manufacturing units across several Indian states, highlighting a widespread issue rather than isolated incidents.

States implicated include Himachal Pradesh, Uttarakhand, Maharashtra, Delhi, Punjab, West Bengal, Telangana, Uttar Pradesh, Rajasthan, Gujarat, and Karnataka. This geographical spread underscores the need for a uniformly stringent regulatory framework and enforcement mechanism across all manufacturing hubs.

Following these revelations, the onus falls on the respective State Drug Regulators to take decisive action.

As mandated by the Drugs and Cosmetics Act, 1940, these bodies are responsible for initiating stringent measures against the manufacturers of NSQ drugs. This includes immediate cessation of manufacturing, comprehensive recall of all affected batches from the market, and appropriate legal prosecution.

Swift and transparent action is paramount to restore public trust and prevent further circulation of ineffective or harmful medicines.

This August report is not an isolated incident. The CDSCO's monthly testing reports consistently reveal a percentage of substandard drugs. Previous months in 2023 showed a similar trend, with 29 samples failing in July, 34 in June, and 35 in May.

While the percentage might seem small, the sheer volume of drugs consumed in India means even a fraction can impact millions. Experts have repeatedly voiced concerns about the limited number of samples tested relative to the vast and complex drug market in India. There is a strong call for more robust and expansive testing mechanisms to truly gauge the quality landscape of Indian pharmaceuticals and ensure that every medicine reaching a patient is safe, effective, and of the highest standard.

Ensuring the integrity of pharmaceutical products is not merely a regulatory duty; it's a cornerstone of public health.

The continuous detection of substandard drugs serves as a stark reminder of the vigilant oversight required to safeguard the health of the nation.

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Disclaimer: This article was generated in part using artificial intelligence and may contain errors or omissions. The content is provided for informational purposes only and does not constitute professional advice. We makes no representations or warranties regarding its accuracy, completeness, or reliability. Readers are advised to verify the information independently before relying on