Lithium Solution
Product Images NDC 71656-072

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Lithium (NDC 71656-072). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Saptalis Pharmaceuticals, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Cup Label (Image01)

This is a description of a Lithium Oral Solution, USP with 8 mEq per 5 mL. It is available in a unit-dose of 5 mL with an orange flavor. The product is not child-resistant and intended for institutional use only. Manufactured by Saptalis Pharmaceuticals, LLC in Hauppauge, NY. This prescription is labeled as RXONLY.*

FDA Label Image

Label (Image02)

This is a product description for Lithium Oral Solution, USP with an orange flavor. Each 5 mL contains 8 mEq of lithium, equivalent to 300 mg of lithium carbonate per 5 mL. It is for oral administration only, with a typical adult dosage of 5 mL or 10 mL three times a day. The medication guide should be dispensed to each patient. The solution should be stored at 20°C to 25°C (68°F to 77°F). It is distributed by Saptalis Pharmaceuticals, LLC in Hauppauge, NY.*

FDA Label Image

Label (Image03)

This text provides information about a Lithium Oral Solution, USP, with a strength of 8 mEq per 5 mL. The unit-dose delivers 5 mL of solution with an orange flavor. The prescription is for adults to take 5-10 mL (8-16 mEq of lithium) three times a day. The medication should be stored at 20° to 25°C (66-77°F). The product is distributed by Saptalis Pharmaceuticals, LLC in Hauppauge, NY, USA. Each tray contains 50 unit-dose cups. The pharmacist is instructed to dispense the accompanying Medication Guide to each patient.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.