The feds recently published an article touting the long-term success of buprenorphine:
In the first long-term follow-up of patients treated with buprenorphine/naloxone (Bp/Nx) for addiction to opioid pain relievers, half reported that they were abstinent from the drugs 18 months after starting the therapy. After 3.5 years, the portion who reported being abstinent had risen further, to 61 percent, and fewer than 10 percent met diagnostic criteria for dependence on the drugs.
These studies are important. Long-term outcomes have been a big gap in the research.
This is great news, right? 50% abstinent at 18 months! 61% abstinent at 3.5 years! Fewer than 10% dependent at 5.5 years!
Not so fast
There are a couple of problems here.
- They were only able to do follow-up with 38% of subjects at 18 months and 52% at 3.5 years.
- So, that 50% abstinent at 18 months is really more like 19%.
- The 61% abstinent at 3.5 years is more like 32%
Still, 19% abstinent at 18 months and 32% abstinent at 3.5 years is pretty good, right?
Pump the brakes
There are a couple of problems here too.
- They are only reporting on abstinence from illicit opioid use, not other drugs.
- Buried in the article, they mention that they are reporting on being abstinent for the last 30 days. This doesn’t tell us much about how they’ve been doing over the previous 18 months or 3.5 years, does it?
- Same thing for the reporting on diagnostic criteria for dependence. That was also based only on the previous 30 days.
Taking their conclusions at face value
Further, their conclusions open the door to some interesting questions:
In the first study examining long-term treatment outcomes of patients with prescription opioid dependence, our results were more encouraging than short-term outcomes from POATS suggested. As reported in our 18-month follow-up study (Potter et al., 2014), and consistent with other literature (Moore et al., 2007, Nielsen et al., 2013 and Potter et al., 2013), patients with prescription opioid dependence may have a more promising long-term course, compared with expectations based on long-term follow-up studies of heroin users (Darke et al., 2007, Flynn et al., 2003, Grella and Lovinger, 2011, Hser et al., 2001 and Vaillant, 1973). Indeed, a history of occasional heroin use at POATS entry was the only prognostic indicator 42 months later, associated with a higher likelihood of meeting symptomatic criteria for current opioid dependence. Our results are consistent with research on heroin dependence in supporting the value of opioid agonist therapy for prescription opioid dependence; however, half of the follow-up participants reported good outcomes without agonist therapy.
This begs a couple of important questions.
- First, many medication assisted treatment advocates have argued that opioid addiction is unique in that it creates long-term or permanent brain dysfunction that requires opioid replacement. Do these findings undermine this theory?
- Second, half of their follow-up subjects doing well without opioid replacement. Can we assume that opioid replacement is responsible for their good outcomes?
This is the basis for the federal and media push for MAT?
It would appear so.
This not quite what you imagined when they reported 61% abstinent, is it? Why would they present it in a manner that many of us would consider misleading?
It’s also hard to understand their certainty, isn’t it?
I mean, when they talk about this being “treatment that works”, “evidence-based treatment” or “science-based treatment”, don’t most member of the public assume that expressions like “works”, “evidence-based” and “science-based” mean that there’s a body of research indicating that these treatments provide a good chance of getting well?
Instead, these studies suggest that these treatments help make people less sick.
If that’s what patients and their families want, there’s nothing wrong with that. But, they ought to know what they’re getting. (The same goes for communicating the limitations or gaps in evidence for other treatments.)
One thought on “Optimism? Or, is it low expectations?”
This is exactly why we must be cautious consumers of scientific research. Not only looking at the quality and levels of evidence, but the bias of the researchers themselves. Sadly, it’s not always easy to know the truth.
Comments are closed.