Product Images Metoprolol Succinate

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Product Label Images

The following 8 images provide visual information about the product associated with Metoprolol Succinate NDC 71205-800 by Proficient Rx Lp, 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.

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Metoprolol Succinate 50mg is a prescription medicine that comes in a bottle of 30 extended-release tablets. Each film-coated capsule-shaped tablet is white to off-white, debossed with "logo" and #30 ER Tablets SN# MASTER & 676 on one side and scored on the other side. It is packaged by Proficient Rx LP in Thousand Oaks, California, and distributed by Teva Pharmaceuticals USA, Inc. in North Wales, Pennsylvania. The tablets contain metoprolol succinate, USP equivalent to 50 mg metoprolol tartrate, USP. It should be stored at a temperature not exceeding 25°C (77°F) and kept out of the reach of children. Lot #:00000 Exp:00/00/00.*

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71205-801-30 - image 13

Metoprolol Succinate is a prescription drug available in the form of a white or off-white capsule-shaped, film-coated tablet. This tablet is debossed with the word "logo" and #30 ERTablets SN# MASTER, and one side consists of the number "677" and is scored on the other side. The product is packaged in a pack of 30 ER tablets. Each tablet contains 95mg of metoprolol succinate, USP, which is equivalent to 100mg of metoprolol tartrate, USP. It is manufactured and packaged by Proficient Rx LP in Thousand Oaks, CA 91320, and distributed by Teva Pharmaceuticals USA, Inc. in North Wales, PA 19454. The medication should be stored at 25°C (77°F) and kept out of reach of children. The lot number and expiry date for the product are not available.*

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Results are provided for subgroups in the MERIT-HF trial. The table displays information related to total mortality, all-cause hospitalization, and hospitalization for heart failure along with relative risks and 95% confidence intervals. The subgroups are characterized by treatment with different medications, NYHA classification, ejection fraction, etiology, sex, previous MI, diabetes, hypertension, and heart rate. The results are segmented between subjects from the US and Non-US.*

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* 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.