Product Images Irbesartan
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Irbesartan NDC 43547-375 by Solco Healthcare U.s., Llc, 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.
This is a description of a study on the effectiveness of hypertension medication (besartan and amlodipine) versus placebo. The study compares the use of besartan versus placebo and Ibesartan versus Amiodpine, and includes a graph showing the relative risk reduction for each medication. The study monitored patients for a specific period of time (from days 21 to 51) to evaluate the effects of these medications.*
Each tablet contains 75 mg of Meesartan. Please refer to the package insert or dosing information. Store between 20°C and 25°C (65°F and 77°F). Excursions permitted to 15°C - 30°C (86°F). Manufactured and distributed by pharmaceutical companies in China and the USA. This text is related to the description of medication (Meesartan or Irbesartan tablets).*
Each tablet contains 150mg of Foesartan. Please refer to the package insert for further information. The tablets should be stored between 20°C and 25°C (65°F and 77°F) with excursions permitted between 15°C and 30°C (86°F). The manufacturer is Zhegang Huahai Pramaceutica Co, Li. The distributor is Soleo Heatheare US, LLC. The box contains uncoated Irbesartan tablets.*
This is a package insert for a medication called Eoch abet cotans that contains 300 mg of Foesaran. It includes dosing instructions and storage information, and was manufactured by Hesang Huahai Pharmaceutical Co. Ltd in China and distributed by Solco Healthcare in the U.S. The text also mentions a medication called Irbesartan tablets, USP, but no other information is given. The box pictured is not relevant.*
* 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.