Sandostatin Lar Depot Kit
Product Images NDC 0078-0818
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Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Sandostatin Lar Depot (NDC 0078-0818). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Novartis Pharmaceuticals Corporation, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
Sandostatinlar 02
Sandostatin' LAR Depot is an injectable suspension medication intended for intramuscular use in the gluteal region. The medication is packaged with a vial of Sandostatin LAR Depot in addition to a prefilled syringe containing a liquid solution to be mixed with the medication, an injection needle, and an adapter. There are instructions provided regarding the proper reconstitution of the medication. It is intended for use with a 1.5-inch by 19-gauge safety injection needle. The manufacturer of the product is Novartis, and a prescription is needed to acquire this medication.*
Sandostatinlar 03
Sandostatin'LAR Depot is a medication with octreotide acetate as its active compound. It is an injectable suspension that can be administered through intramuscular use in the gluteal region. The specific dosage available is 20mg. The medicine is manufactured by Novartis. The text also includes a product code and some additional information, although it is difficult to discern the complete meaning.*
Sandostatinlar 04
Sandostatin'LAR Depot is an injectable suspension of octreotide acetate used for gluteal intramuscular injection. The text contains detailed instructions for use, including how to store and prepare the medication. The document also warns users to follow all instructions carefully and consult a healthcare provider before use.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.