Product Images Levothyroxine Sodium
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Product Label Images
The following 4 images provide visual information about the product associated with Levothyroxine Sodium NDC 50436-5183 by Unit Dose Services, 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.
Label Image - lbl504365181
This is a medication described by its National Drug Code (NDC) of 50436-5181-1 and the NOC of 5043651811. The name of the drug is Evotthyrokine. It contains levothyroxine sodium and is available in 30 tablets with a strength of 50 mcg (0.050 mg). It should be stored in a tight, light-resistant container at 25°C (77°F). The package insert contains dosage information. The manufacturer is Sandoz, Inc.*
Label Image - lbl504365182
NDC number 50436-5182-1 indicates the medication Levothyroxine Sodium in the strength of 75 mcg (0.075 mg) with a total of 30 tablets in a container. The tablets contain levothyroxine sodium USP 75 mcg and are manufactured by Sandoz, Inc with Lot number X000 BB XKPXXK. The container should be stored in a tightly closed, light-resistant container away from light and moisture. The package insert includes dosage information. Keep the medication out of reach of children. Other details on the container are not legible.*
Label Image - lbl504365183
Product Name: Levothyroxine Sodium Strength: 88 mcg (0.088 mg) Pack Size: 30 tablets Active Ingredient: Levothyroxine sodium, USP 88 mcg Manufacturer: Sandoz, Inc. NDC Code: 50436-5183-1 Storage: Store in a tight, light-resistant container. Protect from light and moisture. Keep out of reach of children. Store at 25°C (77°F) controlled room temperature. Warning: RX Only. See package insert for dosage information. Manufacturer NDC: 0781-5183-92 Manufacturer Lot: X30000K, EXP: XXX Not Available.*
molecule levothyroxine sodium - levothyroxine sodium tablets usp 1
* 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.