Product Images Irbesartan

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Irbesartan NDC 62332-042 by Alembic Pharmaceuticals Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Figure 1 and 2 - irbesartan fig1 2

Figure 1 and 2 - irbesartan fig1 2

Figure 3 - irbesartan fig3

Figure 3 - irbesartan fig3

This is a report of a clinical trial involving Irbesartan, Amlodipine and Placebo over a period of time spanning from 0 to 60 months. The trial measured the effectiveness of Irbesartan compared to Amlodipine and Placebo in reducing Cumulative Event Rate (%). The report provides values for RR (Relative Risk), p (p-value) and the Cumulative Event Rate for the different drugs over time. There is no readable information in the line "cwsn HRENEABHEBRII".*

irbesartan mg150

irbesartan mg150

irbesartan mg300

irbesartan mg300

This is a description of a medication with the NDC code of 62332-043-30. The tablets contain 300 mg oesarans USP and are from the manufacturer, Aembic Pharmaceuticals Limited. The medicine comes in a bottle of 30 tablets and should be stored at a controlled room temperature of 15-30°C (59-36°F). The GTIN is 00362332043309, and the product's expiration date and lot number are shown in the coding area.*

irbesartan mg75

irbesartan mg75

This is a description of a medication called IDESArtan 8. Each tablet contains 5mg of a substance called USP. The medicine is manufactured by Alembic Pharmaceuticals and comes in a bottle of 30 tablets. The instructions recommend storing it at a temperature below 25C (77F) and away from sunlight. It is important to note that it is a prescription medication and should be used only under a doctor's supervision.*

Structure - irbesartan str

Structure - irbesartan str

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.