Product Images Metoprolol Succinate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Metoprolol Succinate NDC 68001-120 by Bluepoint Laboratories, 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.
structure - 5ef12832 15cd 40f4 bf11 6cea7e48ff7f 01
figure - 5ef12832 15cd 40f4 bf11 6cea7e48ff7f 02
Metoprolol Succinate ER Label 100mg 100CT Rev 03-17 - Metoprolol SucER 100mg 100tablets Rev1213
This is a description of a medication called Metoprolol Succinate, manufactured by Dr. Reddy's Laboratories Limited for BluePoint Laboratories. It contains 100 tablets of 95mg metoprolol succinate which is equivalent to 100mg metoprolol tartrate. The tablet is film-coated and is an extended-release tablet. The prescription details are also given along with a warning to keep out of children's reach and to store at a temperature of 20°-25°C (68°-77°F). There is also information about the manufacturer and manufacturing location.*
Metoprolol Succinate ER Label 100mg 100CT Rev 03-17 - Metoprolol SucER 200mg 100tablets Rev1213
This is a medication called Metoprolol Succinate, which is an extended-release tablet used for treating high blood pressure, chest pains, and heart failure. The tablets contain 190mg of Metoprolol Succinate and are equivalent to 200mg of Metoprolol Tartrate. The medication must be stored between 20°-25°C and kept away from children. The package size is 100 tablets, and further dosage instructions can be found in the package insert. The text includes a warning about storing the medication safely, and the manufacturer is BluePoint Laboratories. There is also mention of a product code, GTIN: 00368001120005, and a label for an unvarnished area, 22x50mm in size.*
* 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.