Obamacare’s Complicated Relationship with the Opioid Crisis

The opioid epidemic, having evolved into one of the greatest public health crises of our time, is a contentious aspect of the ongoing debate surrounding the Republican healthcare proposal.

Voices on the left worry that the repeal of Obamacare’s Medicaid expansion and essential health benefits would worsen the crisis by cutting off access to treatment for addiction and substance abuse. Mother Jones and Vox have both covered the issue. Former President Obama’s June 22nd Facebook post stated his hope that Senators looking to replace the ACA would ask themselves, “What will happen to the Americans grappling with opioid addiction who suddenly lose their coverage?”

On the other side of things, there are theories that the Affordable Care Act actually helped finance–and perhaps exacerbated–the opioid epidemic. It goes something like this: Expanded insurance coverage was taken as a primary goal of the ACA. Two of its policies that supported that goal–allowing adults up to 26 years of age to remain on their parents’ insurance and expanding Medicaid to cover a greater percentage of the population–unintentionally connected at-risk cohorts (chronically unemployed prime-age men and young, previously uninsured whites with an appetite for drugs, to name two) with the means to obtain highly addictive and liberally-prescribed pain medications at a fraction of their street price. (Some knowledge about labor force and other social trends helps paint a clearer picture on this.) Once addicted, many moved on to cheaper and more dangerous alternatives, like heroin or synthetic opioids, thus driving the growth in overdose deaths.

This is a really interesting, if tragic, narrative, so I decided to take a look. I focused on state-level analysis by comparing CDC Wonder data on drug-induced deaths with Kaiser Family Foundation data on expansion status and growth in Medicaid enrollment. The graph below plots states based on their rates of growth in Medicaid rolls and overdose deaths from 2010 to 2015, and is color-coded for expansion status: blue for states that expanded coverage before or by 2015, yellow for states that expanded during 2015, and red for states that hadn’t expanded by the end of 2015. (A note: this isn’t an original idea; for a more in-depth analysis, check out this post.)

What’s interesting is the places where overdoses have increased the quickest. The fastest growing rates of overdose deaths were mostly in states that had expanded Medicaid by 2015; the only non-expansion state to grow by more than 50% since 2010 was Virginia, which in 2015 still had a relatively low rate of 12.7 fatal overdoses per 100,000 population. For some perspective on how bad things have gotten, that rate would have been the 19th highest among states in 2005; today Virginia ranks 42nd in terms of OD rate.

On the other hand, there isn’t a noticeable correlation between increases in Medicaid coverage and increases in the rate of fatal overdoses. Additionally, the rates of overdose deaths in expansion states were increasing before many of the Affordable Care Act’s key provisions went into effect. Starting around 2010, there was a dramatic divergence between would-be expansion states and the rest. It’s possible that states with accelerating rates were more likely to expand coverage in response to increased frequency of fatal overdoses.

So what’s the deal? Did the Affordable Care Act agitate the opioid epidemic? Obviously I don’t have the answer to that, but here’s my take:

I think it would be difficult to argue it hasn’t been a factor on some level, given the far-higher rates of prescription, death, and opioid use and among Medicaid patients than the general population, as well as the state-level trends in OD rates (with acknowledgement that state-level analysis is pretty clunky in this regard; for many reasons West Virginia’s population isn’t really comparable to California’s). I think the fact that state Medicaid programs are adjusting regulations for painkiller prescriptions is an acknowledgement of that.

But if the ACA had a negative effect, I’d think it must register as a drop in the bucket. There are so many pieces to this story: lax prescription practices and the rise of “pill mills,” declining labor force participation, sophisticated distribution networks of Mexican heroin, bogus research and marketing on pain management, stark disparities between expectations and reality. It’s nice to think there’s one thing we can change to solve everything, but I don’t think we’re going to be so lucky.

Here’s another twist: Even if the Affordable Care Act had some negative impact, it could very well be that ACA repeal could make things worse. Scrapping essential benefits coverage could lead to a loss or reduction of access to addiction treatment for millions of Americans. Moreover, gaining insurance has been shown to alleviate feelings of depression and anxiety. How then, might we guess 20 million Americans will feel after losing their insurance? Given the feedback loop between pain and depression, this question deserves a lot of deliberation.

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2 thoughts on “Obamacare’s Complicated Relationship with the Opioid Crisis

  1. Nicely done, and it’s nice to see that your age-adjusted graph looks more-or-less the same as the non-adjusted ones that Gabriel Rossman and I used. I wonder what your bubble graph would look like if you used change in # of ODs (or just 2015 rate) on the y axis rather than % change. I’m also interested in how closely the concentration of open pill-mill style fraud cases (like the Medicaid/opioid fraud cases the Justice department announced this week) line up with both ACA expansion and overall overdose numbers.

    Liked by 1 person

    1. Thank you very much for reading and commenting! I started the bubble graph before I revisited your post and saw the update sections–I almost didn’t publish, fearing the material would be too similar.
      I was also wondering about the fraud numbers–hopefully I’ll find the time take a look. I’ll try making a new graph like you described and seeing what it looks like too.

      Liked by 1 person

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