Product Images Metoprolol Succinate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 12 images provide visual information about the product associated with Metoprolol Succinate NDC 71610-161 by Aphena Pharma Solutions - Tennessee, 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.
Bottle Label 25 mg - 71610 0161 45
Metoprolol Succinate ER, USP is a medication that is packaged in a bottle containing 45 tablets of 25mg strength. The NDC number for this medication is 71610015145. There is additional text that is not readable due to errors.*
Aphena Pharma Solutions - TN - Aphena
Structural Formula for Metoprolol Succinate - metoprolol succinate 25mg 50mg 100mg 200mg 1
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 10
Results for Subgroups in MERIT-HF graph - metoprolol succinate 25mg 50mg 100mg 200mg 2
This appears to be a data table of various medical parameters, including heart rate, EF (ejection fraction), and NYHA classification for heart disease. It includes information about race, gender, and previous history of myocardial infarction. The table also includes relative risk and associated confidence intervals.*
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 3
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 4
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 5
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 6
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 7
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 8
Metoprolol Succinate Tablet Imprinted Symbol - metoprolol succinate 25mg 50mg 100mg 200mg 9
* 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.