Product Images Olmesartan Medoxomil
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Product Label Images
The following 5 images provide visual information about the product associated with Olmesartan Medoxomil NDC 51407-197 by Golden State Medical Supply, 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.
51407-197-30LB - OLMESARTAN MEDOXOMIL 5 MG TABS - REV DEC 2018.jpg - 51407 197 30LB OLMESARTAN MEDOXOMIL 5 MG TABS REV DEC 2018
This is a package of Olmesartan Medoxomil tablets. The tablets contain 5mg of the active ingredient and there are 30 tablets in the package. For dosage information, refer to the package insert. It should be stored at 20-25°C. No other information is available.*
51407-198-30LB - OLMESARTAN MEDOXOMIL 20 MG TABS - REV DEC 2018.jpg - 51407 198 30LB OLMESARTAN MEDOXOMIL 20 MG TABS REV DEC 2018
This is a description of a medication called Olmesartan Medoxomil, which comes in 20 mg tablets packaged as 30 tablets. Users should refer to the package insert for dosage instructions. The medication is produced by GSMS Incorporated and contains NDC code 51407-198-30. The text includes symbols, letters, and numbers arranged in a pattern, which may be an error in the process.*
51407-199-30LB - OLMESARTAN MEDOXOMIL 40 MG TABS - REV DEC 2018.jpg - 51407 199 30LB OLMESARTAN MEDOXOMIL 40 MG TABS REV DEC 2018
This is a prescription medicine called Olmesartan Medoxomil, available in the form of tablets. The tablets contain 40 mg of the medicine and come in a bottle of 30 tablets. The package contains dosage information. Store this medicine between 20°-25°C (68°-77°F). The rest of the text is not available as it is not in English.*
Structural formula for olmesartan medoxomil - olmesartan medox tabs figure 1
olmesartan medoxomil Dose Response: Placebo-adjusted Reduction in Blood Pressure (mm Hg) - olmesartan medox tabs figure 2
* 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.