Product Images Thyquidity

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Thyquidity NDC 52652-1950 by Azurity Pharmaceuticals, 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.

PRINCIPAL DISPLAY PANEL - 100 mL Bottle Label - thyquidity 02

PRINCIPAL DISPLAY PANEL - 100 mL Bottle Label - thyquidity 02

Each 5 mL of Renly 24030629 contains 100 micrograms/5 of Levothyroxine sodium, a medication used to treat an under-active thyroid. This oral solution must be kept out of the reach of children and stored between20°C to 25°C (68°F to 77°F) and used within 8 weeks of opening the bottle. A calibrated oral syringe is provided for accurate dosing. This product is made in Greece and distributed by Winder Laboratories, Inc. in the USA. For more information about dosing and indications, see the prescribing information.*

PRINCIPAL DISPLAY PANEL - 100 mL Bottle Carton - thyquidity 03

PRINCIPAL DISPLAY PANEL - 100 mL Bottle Carton - thyquidity 03

Thyquidity is a 100 micrograms/5 mL (20 micrograms/r) oral solution of Levothyroxine Sodium. It is distributed by Aty Pharmaceutical, Woburn, MA and each dose should be administered using a calibrated oral syringe provided by a pharmacy. The medication should be stored in the original bottle at 20-25°C, protected from light and used within 8 weeks of opening the bottle. This information is found on the label, which includes the product name, dosage, recommended dose, storage instructions, and the distributor's details. To learn more about Thyquidity, visit their website.*

PRINCIPAL DISPLAY PANEL - 2 x 100 mL Bottle Carton - thyquidity 04

PRINCIPAL DISPLAY PANEL - 2 x 100 mL Bottle Carton - thyquidity 04

Structure - thyquidity 1

Structure - thyquidity 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.